Operations research investigations of satellite power stations

NASA Technical Reports Server (NTRS)

Cole, J. W.; Ballard, J. L.

1976-01-01

A systems model reflecting the design concepts of Satellite Power Stations (SPS) was developed. The model is of sufficient scope to include the interrelationships of the following major design parameters: the transportation to and between orbits; assembly of the SPS; and maintenance of the SPS. The systems model is composed of a set of equations that are nonlinear with respect to the system parameters and decision variables. The model determines a figure of merit from which alternative concepts concerning transportation, assembly, and maintenance of satellite power stations are studied. A hybrid optimization model was developed to optimize the system's decision variables. The optimization model consists of a random search procedure and the optimal-steepest descent method. A FORTRAN computer program was developed to enable the user to optimize nonlinear functions using the model. Specifically, the computer program was used to optimize Satellite Power Station system components.

Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tahvili, Sahar; Österberg, Jonas; Silvestrov, Sergei

One of the most important factors in the operations of many cooperations today is to maximize profit and one important tool to that effect is the optimization of maintenance activities. Maintenance activities is at the largest level divided into two major areas, corrective maintenance (CM) and preventive maintenance (PM). When optimizing maintenance activities, by a maintenance plan or policy, we seek to find the best activities to perform at each point in time, be it PM or CM. We explore the use of stochastic simulation, genetic algorithms and other tools for solving complex maintenance planning optimization problems in terms ofmore » a suggested framework model based on discrete event simulation.« less

Analysis of Maintenance Service Contracts for Dump Trucks Used in Mining Industry with Simulation Approach

NASA Astrophysics Data System (ADS)

Dymasius, A.; Wangsaputra, R.; Iskandar, B. P.

2016-02-01

A mining company needs high availability of dump trucks used to haul mining materials. As a result, an effective maintenance action is required to keep the dump trucks in a good condition and hence reducing failure and downtime of the dump trucks. To carry out maintenance in-house requires a high intensive maintenance facility and high skilled maintenance specialists. Often, outsourcing maintenance is an economic option for the company. An external agent takes a proactive action with offering some maintenance contract options to the owner. The decision problem for the owner is to decide the best option and for the agent is to determine the optimal price for each option offered. A non-cooperative game-theory is used to formulate the decision problems for the owner and the agent. We consider that failure pattern of each truck follows a non-homogeneous Poisson process (NHPP) and a queueing theory with multiple servers is used to estimate the downtime. As it involves high complexity to model downtime using a queueing theory, then in this paper we use a simulation method. Furthermore, we conduct experiment to seek for the best number of maintenance facilities (servers) which minimises maintenance and penalty costs incurred to the agent.

Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval

NASA Astrophysics Data System (ADS)

Kumar, Girish; Jain, Vipul; Gandhi, O. P.

2018-03-01

Maintenance helps to extend equipment life by improving its condition and avoiding catastrophic failures. Appropriate model or mechanism is, thus, needed to quantify system availability vis-a-vis a given maintenance strategy, which will assist in decision-making for optimal utilization of maintenance resources. This paper deals with semi-Markov process (SMP) modeling for steady state availability analysis of mechanical systems that follow condition-based maintenance (CBM) and evaluation of optimal condition monitoring interval. The developed SMP model is solved using two-stage analytical approach for steady-state availability analysis of the system. Also, CBM interval is decided for maximizing system availability using Genetic Algorithm approach. The main contribution of the paper is in the form of a predictive tool for system availability that will help in deciding the optimum CBM policy. The proposed methodology is demonstrated for a centrifugal pump.

A bi-objective model for optimizing replacement time of age and block policies with consideration of spare parts’ availability

NASA Astrophysics Data System (ADS)

Alsyouf, Imad

2018-05-01

Reliability and availability of critical systems play an important role in achieving the stated objectives of engineering assets. Preventive replacement time affects the reliability of the components, thus the number of system failures encountered and its downtime expenses. On the other hand, spare parts inventory level is a very critical factor that affects the availability of the system. Usually, the decision maker has many conflicting objectives that should be considered simultaneously for the selection of the optimal maintenance policy. The purpose of this research was to develop a bi-objective model that will be used to determine the preventive replacement time for three maintenance policies (age, block good as new, block bad as old) with consideration of spare parts’ availability. It was suggested to use a weighted comprehensive criterion method with two objectives, i.e. cost and availability. The model was tested with a typical numerical example. The results of the model demonstrated its effectiveness in enabling the decision maker to select the optimal maintenance policy under different scenarios and taking into account preferences with respect to contradicting objectives such as cost and availability.

Strategy on energy saving reconstruction of distribution networks based on life cycle cost

NASA Astrophysics Data System (ADS)

Chen, Xiaofei; Qiu, Zejing; Xu, Zhaoyang; Xiao, Chupeng

2017-08-01

Because the actual distribution network reconstruction project funds are often limited, the cost-benefit model and the decision-making method are crucial for distribution network energy saving reconstruction project. From the perspective of life cycle cost (LCC), firstly the research life cycle is determined for the energy saving reconstruction of distribution networks with multi-devices. Then, a new life cycle cost-benefit model for energy-saving reconstruction of distribution network is developed, in which the modification schemes include distribution transformers replacement, lines replacement and reactive power compensation. In the operation loss cost and maintenance cost area, the operation cost model considering the influence of load season characteristics and the maintenance cost segmental model of transformers are proposed. Finally, aiming at the highest energy saving profit per LCC, a decision-making method is developed while considering financial and technical constraints as well. The model and method are applied to a real distribution network reconstruction, and the results prove that the model and method are effective.

Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.

NASA Astrophysics Data System (ADS)

Calle-Cordón, Álvaro; Jiménez-Redondo, Noemi; Morales-Gámiz, F. J.; García-Villena, F. A.; Garmabaki, Amir H. S.; Odelius, Johan

2017-09-01

Life-cycle cost (LCC) analysis is an economic technique used to assess the total costs associated with the lifetime of a system in order to support decision making in long term strategic planning. For complex systems, such as railway and road infrastructures, the cost of maintenance plays an important role in the LCC analysis. Costs associated with maintenance interventions can be more reliably estimated by integrating the probabilistic nature of the failures associated to these interventions in the LCC models. Reliability, Maintainability, Availability and Safety (RAMS) parameters describe the maintenance needs of an asset in a quantitative way by using probabilistic information extracted from registered maintenance activities. Therefore, the integration of RAMS in the LCC analysis allows obtaining reliable predictions of system maintenance costs and the dependencies of these costs with specific cost drivers through sensitivity analyses. This paper presents an innovative approach for a combined RAMS & LCC methodology for railway and road transport infrastructures being developed under the on-going H2020 project INFRALERT. Such RAMS & LCC analysis provides relevant probabilistic information to be used for condition and risk-based planning of maintenance activities as well as for decision support in long term strategic investment planning.

Maintenance program decision-making utilizing crash data.

DOT National Transportation Integrated Search

2013-07-01

This document describes methods that may be used by UDOT Maintenance personnel to improve highway safety. Four programs have been recommended using crash data to make more informed decisions concerning maintenance programs as follows: : Snow & Ic...

A systematic review of health economic models of opioid agonist therapies in maintenance treatment of non-prescription opioid dependence.

PubMed

Chetty, Mersha; Kenworthy, James J; Langham, Sue; Walker, Andrew; Dunlop, William C N

2017-02-24

Opioid dependence is a chronic condition with substantial health, economic and social costs. The study objective was to conduct a systematic review of published health-economic models of opioid agonist therapy for non-prescription opioid dependence, to review the different modelling approaches identified, and to inform future modelling studies. Literature searches were conducted in March 2015 in eight electronic databases, supplemented by hand-searching reference lists and searches on six National Health Technology Assessment Agency websites. Studies were included if they: investigated populations that were dependent on non-prescription opioids and were receiving opioid agonist or maintenance therapy; compared any pharmacological maintenance intervention with any other maintenance regimen (including placebo or no treatment); and were health-economic models of any type. A total of 18 unique models were included. These used a range of modelling approaches, including Markov models (n = 4), decision tree with Monte Carlo simulations (n = 3), decision analysis (n = 3), dynamic transmission models (n = 3), decision tree (n = 1), cohort simulation (n = 1), Bayesian (n = 1), and Monte Carlo simulations (n = 2). Time horizons ranged from 6 months to lifetime. The most common evaluation was cost-utility analysis reporting cost per quality-adjusted life-year (n = 11), followed by cost-effectiveness analysis (n = 4), budget-impact analysis/cost comparison (n = 2) and cost-benefit analysis (n = 1). Most studies took the healthcare provider's perspective. Only a few models included some wider societal costs, such as productivity loss or costs of drug-related crime, disorder and antisocial behaviour. Costs to individuals and impacts on family and social networks were not included in any model. A relatively small number of studies of varying quality were found. Strengths and weaknesses relating to model structure, inputs and approach were identified across all the studies. There was no indication of a single standard emerging as a preferred approach. Most studies omitted societal costs, an important issue since the implications of drug abuse extend widely beyond healthcare services. Nevertheless, elements from previous models could together form a framework for future economic evaluations in opioid agonist therapy including all relevant costs and outcomes. This could more adequately support decision-making and policy development for treatment of non-prescription opioid dependence.

A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations.

PubMed

Carnero, María Carmen; Gómez, Andrés

2016-04-23

Healthcare organizations have far greater maintenance needs for their medical equipment than other organization, as many are used directly with patients. However, the literature on asset management in healthcare organizations is very limited. The aim of this research is to provide more rational application of maintenance policies, leading to an increase in quality of care. This article describes a multicriteria decision-making approach which integrates Markov chains with the multicriteria Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), to facilitate the best choice of combination of maintenance policies by using the judgements of a multi-disciplinary decision group. The proposed approach takes into account the level of acceptance that a given alternative would have among professionals. It also takes into account criteria related to cost, quality of care and impact of care cover. This multicriteria approach is applied to four dialysis subsystems: patients infected with hepatitis C, infected with hepatitis B, acute and chronic; in all cases, the maintenance strategy obtained consists of applying corrective and preventive maintenance plus two reserve machines. The added value in decision-making practices from this research comes from: (i) integrating the use of Markov chains to obtain the alternatives to be assessed by a multicriteria methodology; (ii) proposing the use of MACBETH to make rational decisions on asset management in healthcare organizations; (iii) applying the multicriteria approach to select a set or combination of maintenance policies in four dialysis subsystems of a health care organization. In the multicriteria decision making approach proposed, economic criteria have been used, related to the quality of care which is desired for patients (availability), and the acceptance that each alternative would have considering the maintenance and healthcare resources which exist in the organization, with the inclusion of a decision-making group. This approach is better suited to actual health care organization practice and depending on the subsystem analysed, improvements are introduced that are not included in normal maintenance policies; in this way, not only have different maintenance policies been suggested, but also alternatives that, in each case and according to viability, provide a more complete decision tool for the maintenance manager.

Facing the Issue of Facilities Maintenance in California Public Higher Education.

ERIC Educational Resources Information Center

California State Postsecondary Education Commission, Sacramento.

The decision to defer facilities maintenance obligations in California higher education and the extent to which maintenance has been deferred are discussed. Attention is also directed to the educational and fiscal context in which this decision has been made nationally. The policies and procedures governing facilities maintenance and deferral in…

Design/build vs. traditional construction user delay modeling : an evaluation of the cost effectiveness of innovative construction methods for new construction. Part 1 : I-15 reconstruction in Davis County : evaluation of various traffic maintenance plans

DOT National Transportation Integrated Search

2007-05-01

This paper evaluates impact of various I-15 reconstruction closure scenarios on the travelers in Ogden area. The purpose of the research was to investigate impact of the scenarios and facilitate decision about future maintenance of traffic during the...

Advanced decision support for winter road maintenance

DOT National Transportation Integrated Search

2008-01-01

This document provides an overview of the Federal Highway Administration's winter Maintenance Decision Support System (MDSS). The MDSS is a decision support tool that has the ability to provide weather predictions focused toward the road surface. The...

Integrating Geomorphic and Social Dynamics in the Analysis of Anthropogenic Landforms: Examining Landscape Evolution of Terrain Modified by Agricultural Terracing

NASA Astrophysics Data System (ADS)

Glaubius, J.; Maerker, M.

2016-12-01

Anthropogenic landforms, such as mines and agricultural terraces, are impacted by both geomorphic and social processes at varying intensities through time. In the case of agricultural terraces, decisions regarding terrace maintenance are intertwined with land use, such as when terraced fields are abandoned. Furthermore, terrace maintenance and land use decisions, either jointly or separately, may be in response to geomorphic processes, as well as geomorphic feedbacks. Previous studies of these complex geomorphic systems considered agricultural terraces as static features or analyzed only the geomorphic response to landowner decisions. Such research is appropriate for short-term or binary landscape scenarios (e.g. the impact of maintained vs. abandoned terraces), but the complexities inherent in these socio-natural systems requires an approach that includes both social and geomorphic processes. This project analyzes feedbacks and emergent properties in terraced systems by implementing a coupled landscape evolution model (LEM) and agent-based model (ABM) using the Landlab and Mesa modeling libraries. In the ABM portion of the model, agricultural terraces are conceptualized using a life-cycle stages schema and implemented using Markov Decision Processes to simulate the changing geomorphic impact of terracing based on human decisions. This paper examines the applicability of this approach by comparing results from a LEM-only model against the coupled LEM-ABM model for a terraced region. Model results are compared by quantify and spatial patterning of sediment transport. This approach fully captures long-term landscape evolution of terraced terrain that is otherwise lost when the life-cycle of terraces is not considered. The coupled LEM-ABM approach balances both environmental and social processes so that the socio-natural feedbacks in such anthropogenic systems can be disentangled.

Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains

PubMed Central

Wang, Jiaxi; Wang, Huasheng; Wang, Zhongkai; Li, Jian; Lin, Ruixi; Xiao, Jie; Wu, Jianping

2017-01-01

This paper presents a 0–1 programming model aimed at obtaining the optimal inventory policy and transportation mode for maintenance spare parts of high-speed trains. To obtain the model parameters for occasionally-replaced spare parts, a demand estimation method based on the maintenance strategies of China’s high-speed railway system is proposed. In addition, we analyse the shortage time using PERT, and then calculate the unit time shortage cost from the viewpoint of train operation revenue. Finally, a real-world case study from Shanghai Depot is conducted to demonstrate our method. Computational results offer an effective and efficient decision support for inventory managers. PMID:28472097

Monitoring and decision making by people in man machine systems

NASA Technical Reports Server (NTRS)

Johannsen, G.

1979-01-01

The analysis of human monitoring and decision making behavior as well as its modeling are described. Classic and optimal control theoretical, monitoring models are surveyed. The relationship between attention allocation and eye movements is discussed. As an example of applications, the evaluation of predictor displays by means of the optimal control model is explained. Fault detection involving continuous signals and decision making behavior of a human operator engaged in fault diagnosis during different operation and maintenance situations are illustrated. Computer aided decision making is considered as a queueing problem. It is shown to what extent computer aids can be based on the state of human activity as measured by psychophysiological quantities. Finally, management information systems for different application areas are mentioned. The possibilities of mathematical modeling of human behavior in complex man machine systems are also critically assessed.

[Vertical integration and contracting-out in generic hospital services in Spain].

PubMed

Puig-Junoy, J; Pérez-Sust, P

2002-01-01

This study examines the factors that influence make or buy decisions corresponding to four generic services (housekeeping, laundry, food services, and maintenance and security) in Spanish hospitals (3,160 transactions in 790 hospitals). The empirical estimation of a logistic model based on hospital utility maximization is presented. Factors included in the model are not only those related to transaction costs, but also those related to public intervention and the political dimension. A total of 55.7% of hospitals contracted-out at least one of the generic services. The services most frequently contracted-out were housekeeping and maintenance and security(45.1 and 32.5%, respectively). In contrast, the services (94.3% and 80.1%, respectively). Hospital size (economies of scale), measured by the number of beds, was one of the most important factors influencing make or buy decisions. We find evidence that economies of scale are related to a higher level of vertical integration, while specialization and for-profit objectives favor the decision to contract-out. The choice of organizational model for laundry services presents a different pattern from that of the other three services. Empirical results show that some asset specificity could be present in laundry services.

Maintenance Policy in Public-Transport Involving Government Subsidy

NASA Astrophysics Data System (ADS)

Pasaribu, U. S.; Bayuzetra, Y.; Gunawan, L. E.; Husniah, H.

2018-02-01

A public transport with government subsidy is considered to encourage the sustainability of the transportation. The transportations revenue is determined by the maximum of the uptimes of the vehicle. In this paper, we study a one-dimensional maintenance policy for new vehicle which is characterized by age parameter. We consider that the degradation of the vehicle is affected by the age of the vehicle, and modelled by using a one-dimensional approach. The owner performs both preventive and corrective maintenance actions, and the preventive maintenance action will reduce the vehicle failure rate and hence it will decrease the corrective maintenance cost during the life time of the vehicle. The decision problem for the owner is to find the optimal preventive maintenance time of the vehicle of each subsidy option offered by maximizing the expected profit for each subsidy.

Dynamic decision-making for reliability and maintenance analysis of manufacturing systems based on failure effects

NASA Astrophysics Data System (ADS)

Zhang, Ding; Zhang, Yingjie

2017-09-01

A framework for reliability and maintenance analysis of job shop manufacturing systems is proposed in this paper. An efficient preventive maintenance (PM) policy in terms of failure effects analysis (FEA) is proposed. Subsequently, reliability evaluation and component importance measure based on FEA are performed under the PM policy. A job shop manufacturing system is applied to validate the reliability evaluation and dynamic maintenance policy. Obtained results are compared with existed methods and the effectiveness is validated. Some vague understandings for issues such as network modelling, vulnerabilities identification, the evaluation criteria of repairable systems, as well as PM policy during manufacturing system reliability analysis are elaborated. This framework can help for reliability optimisation and rational maintenance resources allocation of job shop manufacturing systems.

Artificial Intelligent Platform as Decision Tool for Asset Management, Operations and Maintenance.

PubMed

2018-01-04

An Artificial Intelligence (AI) system has been developed and implemented for water, wastewater and reuse plants to improve management of sensors, short and long term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it is able to simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.

Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms

NASA Astrophysics Data System (ADS)

Zhong, Shuya; Pantelous, Athanasios A.; Beer, Michael; Zhou, Jian

2018-05-01

Offshore wind farm is an emerging source of renewable energy, which has been shown to have tremendous potential in recent years. In this blooming area, a key challenge is that the preventive maintenance of offshore turbines should be scheduled reasonably to satisfy the power supply without failure. In this direction, two significant goals should be considered simultaneously as a trade-off. One is to maximise the system reliability and the other is to minimise the maintenance related cost. Thus, a non-linear multi-objective programming model is proposed including two newly defined objectives with thirteen families of constraints suitable for the preventive maintenance of offshore wind farms. In order to solve our model effectively, the nondominated sorting genetic algorithm II, especially for the multi-objective optimisation is utilised and Pareto-optimal solutions of schedules can be obtained to offer adequate support to decision-makers. Finally, an example is given to illustrate the performances of the devised model and algorithm, and explore the relationships of the two targets with the help of a contrast model.

A Review of Selected Models.

DTIC Science & Technology

1982-02-01

evacuation, essential maintenance, transportation, decontamination, and field services (i.e., replacements, graves registration, finance , etc.). 2...such logic through the tactical decision rules input by the user. With such a device, the UNICORN nuclear weapons 78 -T -- : I-, -- r, Pow- allocation

Two fuzzy possibilistic bi-objective zero-one programming models for outsourcing the equipment maintenance problem

NASA Astrophysics Data System (ADS)

Vahdani, Behnam; Jolai, Fariborz; Tavakkoli-Moghaddam, Reza; Meysam Mousavi, S.

2012-07-01

Maintenance outsourcing can be regarded as a strategic weapon to increase productivity and customer satisfaction in many companies, and this critical activity can be performed in a more efficient and effective way. This article presents two novel fuzzy possibilistic bi-objective zero-one programming (FPBOZOP) models for outsourcing of the equipment maintenance. In these models, cost parameters, including outsourcing cost, risk cost, time operations for performing the equipment maintenance and reliability level, as well as other influential parameters are considered through the outsourcing process. Moreover, the presented models can measure the capability of the company in doing different activities, unlike previous studies, in order to see the possibility of maintenance in-house, and can lead to make a best decision on the basis of the models' results. Both models are developed under uncertainty, which bring top managers the possibility of assigning more than one equipment or project to the supplier so that the profit is maximized, and the cost is minimized by considering bi-objectives concurrently. Then, a new fuzzy mathematical programming based possibilistic approach is introduced as a solution methodology from the recent literature to solve the proposed bi-objective zero-one programming (BOZOP) models and to reach a preferred compromise solution. Furthermore, a real-case study is utilized to demonstrate and to validate the effectiveness of the presented models. The computational results revealed that the models can be implemented in variety of problems in the domain of the equipment maintenance outsourcing and project outsourcing either from theory or application perspectives.

The role of data fusion in predictive maintenance using digital twin

NASA Astrophysics Data System (ADS)

Liu, Zheng; Meyendorf, Norbert; Mrad, Nezih

2018-04-01

Modern aerospace industry is migrating from reactive to proactive and predictive maintenance to increase platform operational availability and efficiency, extend its useful life cycle and reduce its life cycle cost. Multiphysics modeling together with data-driven analytics generate a new paradigm called "Digital Twin." The digital twin is actually a living model of the physical asset or system, which continually adapts to operational changes based on the collected online data and information, and can forecast the future of the corresponding physical counterpart. This paper reviews the overall framework to develop a digital twin coupled with the industrial Internet of Things technology to advance aerospace platforms autonomy. Data fusion techniques particularly play a significant role in the digital twin framework. The flow of information from raw data to high-level decision making is propelled by sensor-to-sensor, sensor-to-model, and model-to-model fusion. This paper further discusses and identifies the role of data fusion in the digital twin framework for aircraft predictive maintenance.

Instrumentation and computational modeling for evaluation of bridges substructures across waterways.

DOT National Transportation Integrated Search

2013-12-01

This State Study 229 was proposed as the Phase I study for implementing sensing technologies and computational analysis to assess bridge conditions and support decision-making for bridge maintenance in Mississippi. The objectives of the study are to:...

A Simulation Based Approach for Contingency Planning for Aircraft Turnaround Operation System Activities in Airline Hubs

NASA Technical Reports Server (NTRS)

Adeleye, Sanya; Chung, Christopher

2006-01-01

Commercial aircraft undergo a significant number of maintenance and logistical activities during the turnaround operation at the departure gate. By analyzing the sequencing of these activities, more effective turnaround contingency plans may be developed for logistical and maintenance disruptions. Turnaround contingency plans are particularly important as any kind of delay in a hub based system may cascade into further delays with subsequent connections. The contingency sequencing of the maintenance and logistical turnaround activities were analyzed using a combined network and computer simulation modeling approach. Experimental analysis of both current and alternative policies provides a framework to aid in more effective tactical decision making.

A reliability-based maintenance technicians' workloads optimisation model with stochastic consideration

NASA Astrophysics Data System (ADS)

Ighravwe, D. E.; Oke, S. A.; Adebiyi, K. A.

2016-06-01

The growing interest in technicians' workloads research is probably associated with the recent surge in competition. This was prompted by unprecedented technological development that triggers changes in customer tastes and preferences for industrial goods. In a quest for business improvement, this worldwide intense competition in industries has stimulated theories and practical frameworks that seek to optimise performance in workplaces. In line with this drive, the present paper proposes an optimisation model which considers technicians' reliability that complements factory information obtained. The information used emerged from technicians' productivity and earned-values using the concept of multi-objective modelling approach. Since technicians are expected to carry out routine and stochastic maintenance work, we consider these workloads as constraints. The influence of training, fatigue and experiential knowledge of technicians on workload management was considered. These workloads were combined with maintenance policy in optimising reliability, productivity and earned-values using the goal programming approach. Practical datasets were utilised in studying the applicability of the proposed model in practice. It was observed that our model was able to generate information that practicing maintenance engineers can apply in making more informed decisions on technicians' management.

Maintenance decision support system deployment guide

DOT National Transportation Integrated Search

2008-07-01

This is a guide for transportation professionals on why and how to deploy winter Maintenance Decision Support Systems (MDSS). Adverse winter weather can cause traffic delays and crashes. Treating the effects of winter weather can also have impacts on...

Towards sustainable e-health networks: does modeling support efficient management and operation?

PubMed

Staemmler, Martin

2007-01-01

e-Health Networks require cost-effective approaches for routine operation to achieve long-lasting sustainability. By using a model to represent (i) the network's enterprise functions, (ii) the applications used and (iii) the physical implementations, the tasks of management, adapting to changes and providing continued maintenance can be effectively supported. The paper discusses approaches for modeling, assesses their usefulness for the above tasks and decides on the use of the 3LGM meta model. Based on this concept, three ways for modeling the specific properties of an e-Health network are presented, leading to the decision to represent the hospitals involved in only one layer. As a result the model derived is presented, assessed and proved to support strategic management, day-to-day maintenance and documentation.

Maintenance service contract model for heavy equipment in mining industry using principal agent theory

NASA Astrophysics Data System (ADS)

Pakpahan, Eka K. A.; Iskandar, Bermawi P.

2015-12-01

Mining industry is characterized by a high operational revenue, and hence high availability of heavy equipment used in mining industry is a critical factor to ensure the revenue target. To maintain high avaliability of the heavy equipment, the equipment's owner hires an agent to perform maintenance action. Contract is then used to control the relationship between the two parties involved. The traditional contracts such as fixed price, cost plus or penalty based contract studied is unable to push agent's performance to exceed target, and this in turn would lead to a sub-optimal result (revenue). This research deals with designing maintenance contract compensation schemes. The scheme should induce agent to select the highest possible maintenance effort level, thereby pushing agent's performance and achieve maximum utility for both parties involved. Principal agent theory is used as a modeling approach due to its ability to simultaneously modeled owner and agent decision making process. Compensation schemes considered in this research includes fixed price, cost sharing and revenue sharing. The optimal decision is obtained using a numerical method. The results show that if both parties are risk neutral, then there are infinite combination of fixed price, cost sharing and revenue sharing produced the same optimal solution. The combination of fixed price and cost sharing contract results in the optimal solution when the agent is risk averse, while the optimal combination of fixed price and revenue sharing contract is obtained when agent is risk averse. When both parties are risk averse, the optimal compensation scheme is a combination of fixed price, cost sharing and revenue sharing.

Determinants of farmers' participation in collective maintenance of irrigation infrastructure in KwaZulu-Natal

NASA Astrophysics Data System (ADS)

Sharaunga, S.; Mudhara, M.

2018-06-01

The decentralization framework and the Dublin Principles on Integrated Water Resource Management (IWRM) emphasize the need for a participatory approach to irrigation water management. This study identifies the factors influencing farmers' decision to, and extent of participation in the maintenance of irrigation infrastructure in KwaZulu-Natal province, South Africa based on cross-section data collected from 320 randomly selected smallholder irrigating farmers. A two-step Heckman regression model was applied in the analysis. It was established that households whose heads were older, block committee members, with larger irrigation plots, good soil quality and experiencing severe irrigation water shortages are more likely to participate in maintenance of irrigation infrastructure. On the other hand, farmers with insecure land tenure and with no access to irrigation water were less likely to make the decision to participate. Farmers who were members of the farming cooperative as well as block committee members and those paying irrigation water costs were likely to intensively participate in maintaining irrigation infrastructure. Therefore, decentralization alone cannot lead to improved irrigation outcomes. Several factors are necessary for households to participate intensively in the maintenance of irrigation infrastructure. Governments should address these challenges before handing irrigation schemes to their beneficiaries.

Performance measurement integrated information framework in e-Manufacturing

NASA Astrophysics Data System (ADS)

Teran, Hilaida; Hernandez, Juan Carlos; Vizán, Antonio; Ríos, José

2014-11-01

The implementation of Internet technologies has led to e-Manufacturing technologies becoming more widely used and to the development of tools for compiling, transforming and synchronising manufacturing data through the Web. In this context, a potential area for development is the extension of virtual manufacturing to performance measurement (PM) processes, a critical area for decision making and implementing improvement actions in manufacturing. This paper proposes a PM information framework to integrate decision support systems in e-Manufacturing. Specifically, the proposed framework offers a homogeneous PM information exchange model that can be applied through decision support in e-Manufacturing environment. Its application improves the necessary interoperability in decision-making data processing tasks. It comprises three sub-systems: a data model, a PM information platform and PM-Web services architecture. A practical example of data exchange for measurement processes in the area of equipment maintenance is shown to demonstrate the utility of the model.

A case study of the Maintenance Decision Support System (MDSS) in Maine.

DOT National Transportation Integrated Search

2007-09-10

This report presents the results of a case study evaluation of a Maintenance Decision Support System (MDSS) project under a program funded by the U.S. Department of Transportations (USDOT) Intelligent Transportation Systems (ITS) Joint Program Off...

Enabling Early Sustainment Decisions: Application to F-35 Depot-Level Maintenance

DTIC Science & Technology

2013-01-01

Level Maintenance John G. Drew, Ronald G. McGarvey, Peter Buryk Research Report Enabling Early Sustainment Decisions Application to F-35 Depot-Level...Maintenance John G. Drew, Ronald G. McGarvey, Peter Buryk RAND Project AIR FORCE Prepared for the United States Air Force Approved for public...Related publications include the following: John Drew, Russell D. Shaver, Kristin F. Lynch, Mahyar A. Amouzegar, and Don Snyder, Unmanned Aerial

Bringing a humanistic approach to cancer clinical trials

PubMed Central

Arai, Roberto Jun; Longo, Elaine Santana; Sponton, Maria Helena; Del Pilar Estevez Diz, Maria

2017-01-01

In this article, we describe some practical aspects that promote the humanisation of clinical research. Actions are not limited to improving the communication skills of medical staff but also include maintenance of care continuity, accessible written information, and application of theoretic models such as shared decision-making and management of stress in decision-making under uncertainty. We believe that a comprehensive strategy will increase patients’ motivation to participate in and adhere to clinical research. PMID:28596804

Themes from a Camp Maintenance Network: Camp Maintenance and Property Personnel Share Their Insights and Challenges.

ERIC Educational Resources Information Center

Whyman, Wynne

2003-01-01

A camp maintenance survey was completed by maintenance personnel from 99 camps. Results highlighted several important considerations: ensuring sufficient maintenance funds for aging infrastructure, including camp/property personnel in decision making, publicizing completed maintenance projects, examining long-term needs of the land, and adopting…

The Effects of Taxes on the Supply of Labor: with Special Reference to Income Maintenance Programs.

ERIC Educational Resources Information Center

Boskin, Michael Jay

The study builds a theoretical model of the interdependence of the labor supply decisions of family members and applies it to data from the 1967 survey of Economic Opportunity to estimate labor supply curves for population subgroups. The three relevant variables measured are labor supply, wages, and income. The model gives an estimate of the…

A Simulation Based Methodology to Examine the B-1B’s AN/ALQ-161 Maintenance Process

DTIC Science & Technology

2010-03-01

Paper, 2001). “The Air Force does not think of, or advertise , bombers as interchangeable. The B-1, B-2 and B-52 all have a specific mission area and...Path Modeling ( CPM ), Goal Programming, EOQ, Nonlinear Programming Predictive Models unknown, ill-defined known or under the decision-maker’s

A Simulation Based Methodology to Examine the B-1B’s AN/ALQ-161 Maintenance Process

DTIC Science & Technology

2010-03-01

2001). “The Air Force does not think of, or advertise , bombers as interchangeable. The B-1, B-2 and B-52 all have a specific mission area and 2...Modeling ( CPM ), Goal Programming, EOQ, Nonlinear Programming Predictive Models unknown, ill-defined known or under the decision-maker’s control

Optimal Medical Equipment Maintenance Service Proposal Decision Support System combining Activity Based Costing (ABC) and the Analytic Hierarchy Process (AHP).

PubMed

da Rocha, Leticia; Sloane, Elliot; M Bassani, Jose

2005-01-01

This study describes a framework to support the choice of the maintenance service (in-house or third party contract) for each category of medical equipment based on: a) the real medical equipment maintenance management system currently used by the biomedical engineering group of the public health system of the Universidade Estadual de Campinas located in Brazil to control the medical equipment maintenance service, b) the Activity Based Costing (ABC) method, and c) the Analytic Hierarchy Process (AHP) method. Results show the cost and performance related to each type of maintenance service. Decision-makers can use these results to evaluate possible strategies for the categories of equipment.

An empirical analysis of executive behaviour with hospital executive information systems in Taiwan.

PubMed

Huang, Wei-Min

2013-01-01

Existing health information systems largely only support the daily operations of a medical centre, and are unable to generate the information required by executives for decision-making. Building on past research concerning information retrieval behaviour and learning through mental models, this study examines the use of information systems by hospital executives in medical centres. It uses a structural equation model to help find ways hospital executives might use information systems more effectively. The results show that computer self-efficacy directly affects the maintenance of mental models, and that system characteristics directly impact learning styles and information retrieval behaviour. Other results include the significant impact of perceived environmental uncertainty on scan searches; information retrieval behaviour and focused searches on mental models and perceived efficiency; scan searches on mental model building; learning styles and model building on perceived efficiency; and finally the impact of mental model maintenance on perceived efficiency and effectiveness.

Measuring research progress in photovoltaics

NASA Technical Reports Server (NTRS)

Jackson, B.; Mcguire, P.

1986-01-01

The role and some results of the project analysis and integration function in the Flat-plate Solar Array (FSA) Project are presented. Activities included supporting the decision-making process, preparation of plans for project direction, setting goals for project activities, measuring progress within the project, and the development and maintenance of analytical models.

Psychosocial determinants of HIV testing across stages of change in Spanish population: a cross-sectional national survey.

PubMed

Fuster-RuizdeApodaca, Maria Jose; Laguia, Ana; Molero, Fernando; Toledo, Javier; Arrillaga, Arantxa; Jaen, Angeles

2017-03-07

The goal of this research is to study the psychosocial determinants of HIV-testing as a function of the decision or change stage concerning this health behavior. The determinants considered in the major ongoing health models and the stages contemplated in the Precaution Adoption Process Model are analysed. A cross-sectional survey was administered to 1,554 people over 16 years of age living in Spain by a computer-assisted telephone interview (CATI). The sample design was randomised, with quotas of sex and age. The survey measured various psychosocial determinants of health behaviors considered in the main cognitive theories, the interviewees' stage of change concerning HIV-testing (lack of awareness, decision not to act, decision to act, action, maintenance, and abandonment), and the signal for the action of getting tested or the perceived barriers to being tested. Approximately two thirds of the population had not ever had the HIV test. The predominant stage was lack of awareness. The most frequently perceived barriers to testing were related to the health system and to the stigma. We also found that the psychosocial determinants studied differed depending on the respondents' stage of change. Perception of risk, perceived self-efficacy, proximity to people who had been tested, perceived benefits of knowing the diagnosis, and a positive instrumental and emotional attitude were positively associated with the decision and maintenance of testing behavior. However, unrealistic underestimation of the risk of HIV infection, stereotypes about the infection, and the perceived severity of HIV were associated with the decision not to be tested. There are various sociocognitive and motivational profiles depending on people's decision stage concerning HIV-testing. Knowing this profile may allow us to design interventions to influence the psychosocial determinants that characterise each stage of change.

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

NASA Astrophysics Data System (ADS)

Ighravwe, D. E.; Oke, S. A.; Adebiyi, K. A.

2018-03-01

This paper draws on the "human reliability" concept as a structure for gaining insight into the maintenance workforce assessment in a process industry. Human reliability hinges on developing the reliability of humans to a threshold that guides the maintenance workforce to execute accurate decisions within the limits of resources and time allocations. This concept offers a worthwhile point of deviation to encompass three elegant adjustments to literature model in terms of maintenance time, workforce performance and return-on-workforce investments. These fully explain the results of our influence. The presented structure breaks new grounds in maintenance workforce theory and practice from a number of perspectives. First, we have successfully implemented fuzzy goal programming (FGP) and differential evolution (DE) techniques for the solution of optimisation problem in maintenance of a process plant for the first time. The results obtained in this work showed better quality of solution from the DE algorithm compared with those of genetic algorithm and particle swarm optimisation algorithm, thus expressing superiority of the proposed procedure over them. Second, the analytical discourse, which was framed on stochastic theory, focusing on specific application to a process plant in Nigeria is a novelty. The work provides more insights into maintenance workforce planning during overhaul rework and overtime maintenance activities in manufacturing systems and demonstrated capacity in generating substantially helpful information for practice.

Retirement Forecasting. Technical Descriptions of Cost, Decision and Income Models. Volume 2. Report to the Chairman, Subcommittee on Social Security and Income Maintenance Programs, Committee on Finance, United States Senate.

ERIC Educational Resources Information Center

General Accounting Office, Washington, DC.

This supplementary report identifies and provides individual descriptions and reviews of 71 retirement forecasting models. Composed of appendices, it is intended as a source of more detailed information than that included in the main volume of the report. Appendix I is an introduction. Appendix II contains individual descriptions of 32 models of…

Optimisation of maintenance concept choice using risk-decision factor - a case study

NASA Astrophysics Data System (ADS)

Popovic, Vladimir M.; Vasic, Branko M.; Rakicevic, Branislav B.; Vorotovic, Goran S.

2012-10-01

The design of maintenance system and the corresponding logistic support is a very complex process, during which the aim is to find the compromise solutions regarding the relations among different maintenance procedures and the ways of their implementation. As a result of this, various solutions can be adopted, since this is conditioned by a series of important factors and criteria, which can be contradictory sometimes. There are different perspectives on ways of solving practical maintenance problems, that is dilemmas when it comes to the choice of maintenance concept. The principal dilemma is how and when to decide on carrying out maintenance procedures. Should the decision be based on theoretical grounds or experience, how does one reconcile those two extremes, who is to decide upon this? In this article we have offered one, basically new solution as a possibility for maintenance concept choice, based on a significant modification of the widely used failure modes and effects analysis (FMEA) method. This solution is risk-decision factor (RDF). This is a result of seven parameters (of different importance and weight) that have the key impact on the process of production and logistic support. The application of this factor is illustrated by the example of planning, organisation and functioning of the maintenance system applied in The Institute for Manufacturing Banknotes and Coins (ZIN) in Belgrade.

Railroad decision support tools for track maintenance.

DOT National Transportation Integrated Search

2016-01-01

North American railroads spend billions of dollars each year on track maintenance. With : expenditures of this level, incremental improvements in planning or execution of maintenance projects can result in either substantial savings or the ability to...

Rotorcraft Diagnostics

NASA Technical Reports Server (NTRS)

Haste, Deepak; Azam, Mohammad; Ghoshal, Sudipto; Monte, James

2012-01-01

Health management (HM) in any engineering systems requires adequate understanding about the system s functioning; a sufficient amount of monitored data; the capability to extract, analyze, and collate information; and the capability to combine understanding and information for HM-related estimation and decision-making. Rotorcraft systems are, in general, highly complex. Obtaining adequate understanding about functioning of such systems is quite difficult, because of the proprietary (restricted access) nature of their designs and dynamic models. Development of an EIM (exact inverse map) solution for rotorcraft requires a process that can overcome the abovementioned difficulties and maximally utilize monitored information for HM facilitation via employing advanced analytic techniques. The goal was to develop a versatile HM solution for rotorcraft for facilitation of the Condition Based Maintenance Plus (CBM+) capabilities. The effort was geared towards developing analytic and reasoning techniques, and proving the ability to embed the required capabilities on a rotorcraft platform, paving the way for implementing the solution on an aircraft-level system for consolidation and reporting. The solution for rotorcraft can he used offboard or embedded directly onto a rotorcraft system. The envisioned solution utilizes available monitored and archived data for real-time fault detection and identification, failure precursor identification, and offline fault detection and diagnostics, health condition forecasting, optimal guided troubleshooting, and maintenance decision support. A variant of the onboard version is a self-contained hardware and software (HW+SW) package that can be embedded on rotorcraft systems. The HM solution comprises components that gather/ingest data and information, perform information/feature extraction, analyze information in conjunction with the dependency/diagnostic model of the target system, facilitate optimal guided troubleshooting, and offer decision support for optimal maintenance.

Reducing cognitive skill decay and diagnostic error: theory-based practices for continuing education in health care.

PubMed

Weaver, Sallie J; Newman-Toker, David E; Rosen, Michael A

2012-01-01

Missed, delayed, or wrong diagnoses can have a severe impact on patients, providers, and the entire health care system. One mechanism implicated in such diagnostic errors is the deterioration of cognitive diagnostic skills that are used rarely or not at all over a prolonged period of time. Existing evidence regarding maintenance of effective cognitive reasoning skills in the clinical education, organizational training, and human factors literatures suggest that continuing education plays a critical role in mitigating and managing diagnostic skill decay. Recent models also underscore the role of system level factors (eg, cognitive decision support tools, just-in-time training opportunities) in supporting clinical reasoning process. The purpose of this manuscript is to offer a multidisciplinary review of cognitive models of clinical decision making skills in order to provide a list of best practices for supporting continuous improvement and maintenance of cognitive diagnostic processes through continuing education. Copyright © 2012 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on CME, Association for Hospital Medical Education.

Research on Application of FMECA in Missile Equipment Maintenance Decision

NASA Astrophysics Data System (ADS)

Kun, Wang

2018-03-01

Fault mode effects and criticality analysis (FMECA) is a method widely used in engineering. Studying the application of FMEA technology in military equipment maintenance decision-making, can help us build a better equipment maintenance support system, and increase the using efficiency of weapons and equipment. Through Failure Modes, Effects and Criticality Analysis (FMECA) of equipment, known and potential failure modes and their causes are found out, and the influence on the equipment performance, operation success, personnel security are determined. Furthermore, according to the synthetical effects of the severity of effects and the failure probability, possible measures for prevention and correction are put forward. Through replacing or adjusting the corresponding parts, corresponding maintenance strategy is decided for preventive maintenance of equipment, which helps improve the equipment reliability.

Value centric approaches to the design, operations and maintenance of wind turbines

NASA Astrophysics Data System (ADS)

Khadabadi, Madhur Aravind

Wind turbine maintenance is emerging as an unexpectedly high component of turbine operating cost, and there is an increasing interest in managing this cost. This thesis presents an alternative view of maintenance as a value-driver, and develops an optimization algorithm to evaluate the value delivered by different maintenance techniques. I view maintenance as an operation that moves the turbine to an improved state in which it can generate more power and, thus, earn more revenue. To implement this approach, I model the stochastic deterioration of the turbine in two dimensions: the deterioration rate, and the extent of deterioration, and then use maintenance to improve the state of the turbine. The value of the turbine is the difference between the revenue from to the power generation and the costs incurred in operation and maintenance. With a focus on blade deterioration, I evaluate the value delivered by implementing two different maintenance schemes, predictive maintenance and scheduled maintenance. An example of predictive maintenance technique is the use of Condition Monitoring Systems to precisely detect deterioration. I model Condition Monitoring System (CMS) of different degrees of fidelity, where a higher fidelity CMS would allow the blade state to be determined with a higher precision. The same model is then applied for the scheduled maintenance technique. The improved state information obtained from these techniques is then used to derive an optimal maintenance strategy. The difference between the value of the turbine with and without the inspection type can be interpreted as the value of the inspection. The results indicate that a higher fidelity (and more expensive) inspection method does not necessarily yield the highest value, and, that there is an optimal level of fidelity that results in maximum value. The results also aim to inform the operator of the impact of regional parameters such as wind speed, variance and maintenance costs to the optimal maintenance strategy. The contributions of this work are twofold. First, I present a practical approach to wind turbine valuation that takes operating and market conditions into account. This work should therefore be useful to wind farm operators, investors and decision makers. Second, I show how the value of a maintenance scheme can be explicitly assessed for different conditions.

A decision-supported outpatient practice system.

PubMed Central

Barrows, R. C.; Allen, B. A.; Smith, K. C.; Arni, V. V.; Sherman, E.

1996-01-01

We describe a Decision-supported Outpatient Practice (DOP) system developed and now in use at the Columbia-Presbyterian Medical Center. DOP is an automated ambulatory medical record system that integrates in-patient and ambulatory care data, and incorporates active and passive decision support mechanisms with a view towards improving the quality of primary care. Active decision support occurs in the form of event-driven reminders created within a remote clinical information system with its central data repository and decision support system (DSS). Novel features of DOP include patient specific health maintenance task lists calculated by the remote DSS. uses of a semantically structured controlled medical vocabulary to support clinical results review and provider data entry, and exploitation of an underlying ambulatory data model that provides for an explicit record of evolution of insight regarding patient management. Benefits, challenges, and plans are discussed. PMID:8947774

The Condition of the Infrastructure of New York Schools: Who Pays and Who Benefits?

ERIC Educational Resources Information Center

Crampton, Faith E.

1991-01-01

Insufficient resource allocation to facilities maintenance and decisions to defer maintenance are contributors to a backlog of deferred maintenance nationwide. Focuses on the infrastructure of New York schools and suggests incentives at the state level to ensure adequate attention is given to plant maintenance. (eight references) (MLF)

Development of system decision support tools for behavioral trends monitoring of machinery maintenance in a competitive environment

NASA Astrophysics Data System (ADS)

Adeyeri, Michael Kanisuru; Mpofu, Khumbulani

2017-06-01

The article is centred on software system development for manufacturing company that produces polyethylene bags using mostly conventional machines in a competitive world where each business enterprise desires to stand tall. This is meant to assist in gaining market shares, taking maintenance and production decisions by the dynamism and flexibilities embedded in the package as customers' demand varies under the duress of meeting the set goals. The production and machine condition monitoring software (PMCMS) is programmed in C# and designed in such a way to support hardware integration, real-time machine conditions monitoring, which is based on condition maintenance approach, maintenance decision suggestions and suitable production strategies as the demand for products keeps changing in a highly competitive environment. PMCMS works with an embedded device which feeds it with data from the various machines being monitored at the workstation, and the data are read at the base station through transmission via a wireless transceiver and stored in a database. A case study was used in the implementation of the developed system, and the results show that it can monitor the machine's health condition effectively by displaying machines' health status, gives repair suggestions to probable faults, decides strategy for both production methods and maintenance, and, thus, can enhance maintenance performance obviously.

Improving the performance of a filling line based on simulation

NASA Astrophysics Data System (ADS)

Jasiulewicz-Kaczmarek, M.; Bartkowiak, T.

2016-08-01

The paper describes the method of improving performance of a filling line based on simulation. This study concerns a production line that is located in a manufacturing centre of a FMCG company. A discrete event simulation model was built using data provided by maintenance data acquisition system. Two types of failures were identified in the system and were approximated using continuous statistical distributions. The model was validated taking into consideration line performance measures. A brief Pareto analysis of line failures was conducted to identify potential areas of improvement. Two improvements scenarios were proposed and tested via simulation. The outcome of the simulations were the bases of financial analysis. NPV and ROI values were calculated taking into account depreciation, profits, losses, current CIT rate and inflation. A validated simulation model can be a useful tool in maintenance decision-making process.

Knowledge of Fecal Calprotectin and Infliximab Trough Levels Alters Clinical Decision-making for IBD Outpatients on Maintenance Infliximab Therapy.

PubMed

Huang, Vivian W; Prosser, Connie; Kroeker, Karen I; Wang, Haili; Shalapay, Carol; Dhami, Neil; Fedorak, Darryl K; Halloran, Brendan; Dieleman, Levinus A; Goodman, Karen J; Fedorak, Richard N

2015-06-01

Infliximab is an effective therapy for inflammatory bowel disease (IBD). However, more than 50% of patients lose response. Empiric dose intensification is not effective for all patients because not all patients have objective disease activity or subtherapeutic drug level. The aim was to determine how an objective marker of disease activity or therapeutic drug monitoring affects clinical decisions regarding maintenance infliximab therapy in outpatients with IBD. Consecutive patients with IBD on maintenance infliximab therapy were invited to participate by providing preinfusion stool and blood samples. Fecal calprotectin (FCP) and infliximab trough levels (ITLs) were measured by enzyme linked immunosorbent assay. Three decisions were compared: (1) actual clinical decision, (2) algorithmic FCP or ITL decisions, and (3) expert panel decision based on (a) clinical data, (b) clinical data plus FCP, and (c) clinical data plus FCP plus ITL. In secondary analysis, Receiver-operating curves were used to assess the ability of FCP and ITL in predicting clinical disease activity or remission. A total of 36 sets of blood and stool were available for analysis; median FCP 191.5 μg/g, median ITLs 7.3 μg/mL. The actual clinical decision differed from the hypothetical decision in 47.2% (FCP algorithm); 69.4% (ITL algorithm); 25.0% (expert panel clinical decision); 44.4% (expert panel clinical plus FCP); 58.3% (expert panel clinical plus FCP plus ITL) cases. FCP predicted clinical relapse (area under the curve [AUC] = 0.417; 95% confidence interval [CI], 0.197-0.641) and subtherapeutic ITL (AUC = 0.774; 95% CI, 0.536-1.000). ITL predicted clinical remission (AUC = 0.498; 95% CI, 0.254-0.742) and objective remission (AUC = 0.773; 95% CI, 0.622-0.924). Using FCP and ITLs in addition to clinical data results in an increased number of decisions to optimize management in outpatients with IBD on stable maintenance infliximab therapy.

Analysis of maintenance costing with emphasis on contracting versus using state forces.

DOT National Transportation Integrated Search

1982-01-01

The authors present the findings of a study to develop a methodology for analyzing decisions of whether to perform ordinary maintenance, maintenance replacement, and incidental construction with state forces or to let them to contract. In developing ...

Advancements in Risk-Informed Performance-Based Asset Management for Commercial Nuclear Power Plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liming, James K.; Ravindra, Mayasandra K.

2006-07-01

Over the past several years, ABSG Consulting Inc. (ABS Consulting) and the South Texas Project Nuclear Operating Company (STPNOC) have developed a decision support process and associated software for risk-informed, performance-based asset management (RIPBAM) of nuclear power plant facilities. RIPBAM applies probabilistic risk assessment (PRA) tools and techniques in the realm of plant physical and financial asset management. The RIPBAM process applies a tiered set of models and supporting performance measures (or metrics) that can ultimately be applied to support decisions affecting the allocation and management of plant resources (e.g., funding, staffing, scheduling, etc.). In general, the ultimate goal ofmore » the RIPBAM process is to continually support decision-making to maximize a facility's net present value (NPV) and long-term profitability for its owners. While the initial applications of RIPBAM have been for nuclear power stations, the methodology can easily be adapted to other types of power station or complex facility decision-making support. RIPBAM can also be designed to focus on performance metrics other than NPV and profitability (e.g., mission reliability, operational availability, probability of mission success per dollar invested, etc.). Recent advancements in the RIPBAM process focus on expanding the scope of previous RIPBAM applications to include not only operations, maintenance, and safety issues, but also broader risk perception components affecting plant owner (stockholder), operator, and regulator biases. Conceptually, RIPBAM is a comprehensive risk-informed cash flow model for decision support. It originated as a tool to help manage plant refueling outage scheduling, and was later expanded to include the full spectrum of operations and maintenance decision support. However, it differs from conventional business modeling tools in that it employs a systems engineering approach with broadly based probabilistic analysis of organizational 'value streams'. The scope of value stream inclusion in the process can be established by the user, but in its broadest applications, RIPBAM can be used to address how risk perceptions of plant owners and regulators are impacted by plant performance. Plant staffs can expand and refine RIPBAM models scope via a phased program of activities over time. This paper shows how the multi-metric uncertainty analysis feature of RIPBAM can apply a wide spectrum of decision-influencing factors to support decisions designed to maximize the probability of achieving, maintaining, and improving upon plant goals and objectives. In this paper, the authors show how this approach can be extremely valuable to plant owners and operators in supporting plant value-impacting decision-making processes. (authors)« less

Optimal maintenance policy incorporating system level and unit level for mechanical systems

NASA Astrophysics Data System (ADS)

Duan, Chaoqun; Deng, Chao; Wang, Bingran

2018-04-01

The study works on a multi-level maintenance policy combining system level and unit level under soft and hard failure modes. The system experiences system-level preventive maintenance (SLPM) when the conditional reliability of entire system exceeds SLPM threshold, and also undergoes a two-level maintenance for each single unit, which is initiated when a single unit exceeds its preventive maintenance (PM) threshold, and the other is performed simultaneously the moment when any unit is going for maintenance. The units experience both periodic inspections and aperiodic inspections provided by failures of hard-type units. To model the practical situations, two types of economic dependence have been taken into account, which are set-up cost dependence and maintenance expertise dependence due to the same technology and tool/equipment can be utilised. The optimisation problem is formulated and solved in a semi-Markov decision process framework. The objective is to find the optimal system-level threshold and unit-level thresholds by minimising the long-run expected average cost per unit time. A formula for the mean residual life is derived for the proposed multi-level maintenance policy. The method is illustrated by a real case study of feed subsystem from a boring machine, and a comparison with other policies demonstrates the effectiveness of our approach.

Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization

NASA Astrophysics Data System (ADS)

Shah, Rahul H.

Production costs account for the largest share of the overall cost of manufacturing facilities. With the U.S. industrial sector becoming more and more competitive, manufacturers are looking for more cost and resource efficient working practices. Operations management and production planning have shown their capability to dramatically reduce manufacturing costs and increase system robustness. When implementing operations related decision making and planning, two fields that have shown to be most effective are maintenance and energy. Unfortunately, the current research that integrates both is limited. Additionally, these studies fail to consider parameter domains and optimization on joint energy and maintenance driven production planning. Accordingly, production planning methodology that considers maintenance and energy is investigated. Two models are presented to achieve well-rounded operating strategy. The first is a joint energy and maintenance production scheduling model. The second is a cost per part model considering maintenance, energy, and production. The proposed methodology will involve a Time-of-Use electricity demand response program, buffer and holding capacity, station reliability, production rate, station rated power, and more. In practice, the scheduling problem can be used to determine a joint energy, maintenance, and production schedule. Meanwhile, the cost per part model can be used to: (1) test the sensitivity of the obtained optimal production schedule and its corresponding savings by varying key production system parameters; and (2) to determine optimal system parameter combinations when using the joint energy, maintenance, and production planning model. Additionally, a factor analysis on the system parameters is conducted and the corresponding performance of the production schedule under variable parameter conditions, is evaluated. Also, parameter optimization guidelines that incorporate maintenance and energy parameter decision making in the production planning framework are discussed. A modified Particle Swarm Optimization solution technique is adopted to solve the proposed scheduling problem. The algorithm is described in detail and compared to Genetic Algorithm. Case studies are presented to illustrate the benefits of using the proposed model and the effectiveness of the Particle Swarm Optimization approach. Numerical Experiments are implemented and analyzed to test the effectiveness of the proposed model. The proposed scheduling strategy can achieve savings of around 19 to 27 % in cost per part when compared to the baseline scheduling scenarios. By optimizing key production system parameters from the cost per part model, the baseline scenarios can obtain around 20 to 35 % in savings for the cost per part. These savings further increase by 42 to 55 % when system parameter optimization is integrated with the proposed scheduling problem. Using this method, the most influential parameters on the cost per part are the rated power from production, the production rate, and the initial machine reliabilities. The modified Particle Swarm Optimization algorithm adopted allows greater diversity and exploration compared to Genetic Algorithm for the proposed joint model which results in it being more computationally efficient in determining the optimal scheduling. While Genetic Algorithm could achieve a solution quality of 2,279.63 at an expense of 2,300 seconds in computational effort. In comparison, the proposed Particle Swarm Optimization algorithm achieved a solution quality of 2,167.26 in less than half the computation effort which is required by Genetic Algorithm.

Cost utility of maintenance treatment of recurrent depression with sertraline versus episodic treatment with dothiepin.

PubMed

Hatziandreu, E J; Brown, R E; Revicki, D A; Turner, R; Martindale, J; Levine, S; Siegel, J E

1994-03-01

The objective of this study was to model, for patients at risk of recurrent depression, the cost-utility of maintenance therapy with sertraline compared with treatment of acute episodes with dothiepin ('episodic treatment'). Using clinical decision analysis techniques, a Markov state-transition model was constructed to estimate the lifetime costs and quality-adjusted life-years (QALYs) of the 2 therapeutic strategies. The model follows 2 cohorts of 35-year-old women at high risk for recurrent depression over their lifetimes. Model construction and relevant data (probabilities) for performing the analysis were based on existing clinical knowledge. Two physician panels were used to obtain estimates of recurrence probabilities not available in the literature, health utilities, and resource consumption. Costs were obtained from published sources. The baseline analysis showed that it costs 2172 British pounds sterling ($US3692, 1991 currency) to save an additional QALY with sertraline maintenance treatment. Sensitivity analysis showed that the incremental cost-utility ratio ranged from 557 British pounds sterling to 5260 British pounds sterling per QALY. Overall, the resulting ratios are considered to be well within the range of cost-utility ratios that support the adoption and appropriate utilisation of a technology. Based on the study assumptions, long term maintenance treatment with sertraline appears to be clinically and economically justified choice for patients at high risk of recurrent depression.

Managing Highway Maintenance: Standards for Maintenance Work, Part 3, Unit 8, Level 2.

ERIC Educational Resources Information Center

Federal Highway Administration (DOT), Washington, DC. Offices of Research and Development.

Part of the series "Managing Highway Maintenance," the unit explains various uses of maintenance standards and how standards should be interpreted and communicated to formen and crew leaders. Several examples are given of the decisions made when applying the standards to routine work. The preceding units on standards (parts 1 and 2)…

Discharge Chamber Primary Electron Modeling Activities in Three-Dimensions

NASA Technical Reports Server (NTRS)

Steuber, Thomas J.

2004-01-01

Designing discharge chambers for ion thrusters involves many geometric configuration decisions. Various decisions will impact discharge chamber performance with respect to propellant utilization efficiency, ion production costs, and grid lifetime. These hardware design decisions can benefit from the assistance of computational modeling. Computational modeling for discharge chambers has been limited to two-dimensional codes that leveraged symmetry for interpretation into three-dimensional analysis. This paper presents model development activities towards a three-dimensional discharge chamber simulation to aid discharge chamber design decisions. Specifically, of the many geometric configuration decisions toward attainment of a worthy discharge chamber, this paper focuses on addressing magnetic circuit considerations with a three-dimensional discharge chamber simulation as a tool. With this tool, candidate discharge chamber magnetic circuit designs can be analyzed computationally to gain insight into factors that may influence discharge chamber performance such as: primary electron loss width in magnetic cusps, cathode tip position with respect to the low magnetic field volume, definition of a low magnetic field region, and maintenance of a low magnetic field region across the grid span. Corroborating experimental data will be obtained from mockup hardware tests. Initially, simulated candidate magnetic circuit designs will resemble previous successful thruster designs. To provide opportunity to improve beyond previous performance benchmarks, off-design modifications will be simulated and experimentally tested.

The neural circuit and synaptic dynamics underlying perceptual decision-making

NASA Astrophysics Data System (ADS)

Liu, Feng

2015-03-01

Decision-making with several choice options is central to cognition. To elucidate the neural mechanisms of multiple-choice motion discrimination, we built a continuous recurrent network model to represent a local circuit in the lateral intraparietal area (LIP). The network is composed of pyramidal cells and interneurons, which are directionally tuned. All neurons are reciprocally connected, and the synaptic connectivity strength is heterogeneous. Specifically, we assume two types of inhibitory connectivity to pyramidal cells: opposite-feature and similar-feature inhibition. The model accounted for both physiological and behavioral data from monkey experiments. The network is endowed with slow excitatory reverberation, which subserves the buildup and maintenance of persistent neural activity, and predominant feedback inhibition, which underlies the winner-take-all competition and attractor dynamics. The opposite-feature and opposite-feature inhibition have different effects on decision-making, and only their combination allows for a categorical choice among 12 alternatives. Together, our work highlights the importance of structured synaptic inhibition in multiple-choice decision-making processes.

Space shuttle maintenance program planning document

NASA Technical Reports Server (NTRS)

Brown, D. V.

1972-01-01

A means for developing a space shuttle maintenance program which will be acceptable to the development centers, the operators (KSC and AF), and the manufacturer is presented. The general organization and decision processes for determining the essential scheduled maintenance requirements for the space shuttle orbiter are outlined. The development of initial scheduled maintenance programs is discussed. The remaining maintenance, that is non-scheduled or non-routine maintenance, is directed by the findings of the scheduled maintenance program and the normal operation of the shuttle. The remaining maintenance consists of maintenance actions to correct discrepancies noted during scheduled maintenance tasks, nonscheduled maintenance, normal operation, or condition monitoring.

Competency-based on-the-job training for aviation maintenance and inspection--a human factors approach.

PubMed

Walter, D

2000-08-01

More than 90% of the critical skills that an aviation maintenance technician uses are acquired through on-the-job training (OJT). Yet many aviation maintenance technicians rely on a 'degenerating buddy system', 'follow Joe around', or unstructured approach to OJT. Many aspects of the aviation maintenance environment point to the need for a structured OJT program, but perhaps the most significant is the practice of job bidding which can create rapid turnover of technicians. The task analytic training system (TATS), a model for developing team-driven structured OJT was developed by the author, and first introduced in Boeing Commercial Airplane Group to provide competency-based OJT for aviation maintenance and inspection personnel. The goal of the model was not only to provide a comprehensive, highly structured training system that could be applied to any maintenance and inspection task, but also to improve team coordination, attitude and morale. The first goal was accomplished by following the systems eight-step process, the latter through incorporating human factors principles such as decision making, communication, team building and conflict resolution into the process itself. In general, the process helps to instill mutual respect and trust, enhance goal-directed behavior, strengthen technicians' self-esteem and responsiveness to new ideas and encourage technicians to make worthwhile contributions. The theoretical background of the model is addressed by illustrating how the proven training methodologies of job task analysis and job instruction training are blended with human factors principles resulting in a unique team-driven approach to training. The paper discusses major elements of the model including needs identification, outlining targeted jobs, writing and verifying training procedures, an approval system, sequencing of training, certifying trainers, implementing, employing tracking mechanisms, evaluating, and establishing a maintenance/audit plan. Relevance to industry. TATS has been successfully installed in several maintenance and inspection areas of The Boeing Company. Four major U.S. airlines--United Airlines, TransWorld Airlines, Northwest Airlines, and USAirways have participated in two years of development and field testing in their maintenance operations (assisted by the author and Dr. Barbara Kanki of NASA Ames Research Center).

Eco-driving : strategic, tactical, and operational decisions of the driver that improve vehicle fuel economy.

DOT National Transportation Integrated Search

2011-08-01

"This report presents information about the effects of decisions that a driver can make to : influence on-road fuel economy of light-duty vehicles. These include strategic decisions : (vehicle selection and maintenance), tactical decisions (route sel...

Research on Learning Strategies and Hands-On Training in CAI. Final Report, 1 January 1975 to 30 September 1978.

ERIC Educational Resources Information Center

Towne, Douglas M.; And Others

This final report reviews research performed in two major areas--instructional theory, and development of a generalized maintenance trainer simulator. Five related research projects were carried out in the domain of instructional theory: (1) the effects of visual analogies of abstract concepts, (2) Markov decision models for instructional sequence…

Automatic Activation of Phonological Templates for Native but Not Nonnative Phonemes: An Investigation of the Temporal Dynamics of Mu Activation

ERIC Educational Resources Information Center

Santos-Oliveira, Daniela Cristina

2017-01-01

Models of speech perception suggest a dorsal stream connecting the temporal and inferior parietal lobe with the inferior frontal gyrus. This stream is thought to involve an auditory motor loop that translates acoustic information into motor/articulatory commands and is further influenced by decision making processes that involve maintenance of…

Methods of hospital use control in health maintenance organizations.

PubMed

Homer, C G

1986-01-01

The results of the study upon which this article is based show that most HMO plans do not rely solely on incentives as control methods; they impose several other controls including direct constraints on physician decisions to use hospital resources. HMO managers seem to have developed a technology of hospital use control that is applicable regardless of the model, age, or size.

Optimal condition sampling for a network of infrastructure facilities.

DOT National Transportation Integrated Search

2011-12-31

In response to the developments in inspection technologies, infrastructure decision-making methods evolved whereby the optimum combination of inspection decisions on the one hand and maintenance and rehabilitation decisions on the other are determine...

Research on the Decision Method of Maintenance Materials Direct Supply

NASA Astrophysics Data System (ADS)

Zhu, Qian; Shi, Xiaopei; Liu, Shenyang; Luo, Guangxu; Zhu, Chen

2018-05-01

With the further development of civil military integration, more and more maintenance materials will be supplied by the factory directly. Aiming at the mode condition of maintenance materials factory direct supply, maintenance materials needs equipment support in the process of facing a number of direct supply manufacturers how to decision problems, using AHP, considering many factors optimization of direct supply manufacturers involved, and gives the weights of the evaluation indexes of the direct supply manufacturers to evaluate optimal. Finally, with 4 straights for the manufacturer as an example, considering the various evaluation indexes to carry out evaluation and drawing the correct evaluation of direct supply manufacturers, the best manufacturers direct supply is selected. An example shows that, AHP can provide scientific and theoretical basis to materials factory direct supply security.

A knowledge-based system for controlling automobile traffic

NASA Technical Reports Server (NTRS)

Maravas, Alexander; Stengel, Robert F.

1994-01-01

Transportation network capacity variations arising from accidents, roadway maintenance activity, and special events as well as fluctuations in commuters' travel demands complicate traffic management. Artificial intelligence concepts and expert systems can be useful in framing policies for incident detection, congestion anticipation, and optimal traffic management. This paper examines the applicability of intelligent route guidance and control as decision aids for traffic management. Basic requirements for managing traffic are reviewed, concepts for studying traffic flow are introduced, and mathematical models for modeling traffic flow are examined. Measures for quantifying transportation network performance levels are chosen, and surveillance and control strategies are evaluated. It can be concluded that automated decision support holds great promise for aiding the efficient flow of automobile traffic over limited-access roadways, bridges, and tunnels.

Coaching patients in the use of decision and communication aids: RE-AIM evaluation of a patient support program.

PubMed

Belkora, Jeff; Volz, Shelley; Loth, Meredith; Teng, Alexandra; Zarin-Pass, Margot; Moore, Dan; Esserman, Laura

2015-05-28

Decision aids educate patients about treatment options and outcomes. Communication aids include question lists, consultation summaries, and audio-recordings. In efficacy studies, decision aids increased patient knowledge, while communication aids increased patient question-asking and information recall. Starting in 2004, we trained successive cohorts of post-baccalaureate, pre-medical interns to coach patients in the use of decision and communication aids at our university-based breast cancer clinic. From July 2005 through June 2012, we used the RE-AIM framework to measure Reach, Effectiveness, Adoption, Implementation and Maintenance of our interventions. 1. Reach: Over the study period, our program sent a total of 5,153 decision aids and directly administered 2,004 communication aids. In the most recent program year (2012), out of 1,524 eligible patient appointments, we successfully contacted 1,212 (80%); coached 1,110 (73%) in the self-administered use of decision and communication aids; sent 958 (63%) decision aids; and directly administered communication aids for 419 (27%) patients. In a 2010 survey, coached patients reported self-administering one or more communication aids in 81% of visits 2. Effectiveness: In our pre-post comparisons, decision aids were associated with increased patient knowledge and decreased decisional conflict. Communication aids were associated with increased self-efficacy and number of questions; and with high ratings of patient preparedness and satisfaction 3. Adoption: Among visitors sent decision aids, 82% of survey respondents reviewed some or all; among those administered communication aids, 86% reviewed one or more after the visit 4. Through continuous quality adaptations, we increased the proportion of available staff time used for patient support (i.e. exploitation of workforce capacity) from 29% in 2005 to 84% in 2012 5. Maintenance: The main barrier to sustainability was the cost of paid intern labor. We addressed this by testing a service learning model in which student interns work as program coaches in exchange for academic credit rather than salary. The feasibility test succeeded, and we are now expanding the use of unpaid interns. We have sustained a clinic-wide implementation of decision and communication aids through a novel staffing model that uses paid and unpaid student interns as coaches.

Maintenance Communications for the 1990’s,

DTIC Science & Technology

1983-07-01

reverse aide If necessary and Identify by block n.mber) * -This study details weaknesses in the present maintenance communications system...I. I. STrTAMEr OF NEED: Survivable Maintenance Cacputer System. "- DISCUSSION: The maintenance ccmputer system aids immeasurably in the...GRAVELY, Samuel L. (VAdm, USN-Ret), "Integrated Information Display Systen - A Decision Aid ," Signal, March 1983, p.53-60. GRAVELY, Samuel L. (VAdm, USN

A qualitative analysis of parental decision making for childhood immunisation.

PubMed

Marshall, S; Swerissen, H

1999-10-01

Achieving high rates of childhood immunisation is an important public health aim. Currently, however, immunisation uptake in Australia is disappointing. This qualitative study investigated the factors that influence parental decision making for childhood immunisation, and whether parents' experiences were better conceptualised in terms of static subjective expected utility models or in terms of a more dynamic process. Semi-structured in-depth interviews were conducted with 20 predominantly middle-class mothers--17 immunizers and three non-immunizers, in Melbourne, Victoria, in 1997. The data were then examined using thematic analysis. The results suggested that for these participants the decision regarding childhood immunization was better conceptualized as a dynamic process. The decision required initial consideration, implementation then maintenance. If a better understanding of immunization decision making is to be achieved, future studies must look beyond static frameworks. Clearer insight into the dynamic nature of immunization decision making should assist in the identification of more effective methods of promoting childhood immunization to groups at risk of non-compliance.

Optimal maintenance of a multi-unit system under dependencies

NASA Astrophysics Data System (ADS)

Sung, Ho-Joon

The availability, or reliability, of an engineering component greatly influences the operational cost and safety characteristics of a modern system over its life-cycle. Until recently, the reliance on past empirical data has been the industry-standard practice to develop maintenance policies that provide the minimum level of system reliability. Because such empirically-derived policies are vulnerable to unforeseen or fast-changing external factors, recent advancements in the study of topic on maintenance, which is known as optimal maintenance problem, has gained considerable interest as a legitimate area of research. An extensive body of applicable work is available, ranging from those concerned with identifying maintenance policies aimed at providing required system availability at minimum possible cost, to topics on imperfect maintenance of multi-unit system under dependencies. Nonetheless, these existing mathematical approaches to solve for optimal maintenance policies must be treated with caution when considered for broader applications, as they are accompanied by specialized treatments to ease the mathematical derivation of unknown functions in both objective function and constraint for a given optimal maintenance problem. These unknown functions are defined as reliability measures in this thesis, and theses measures (e.g., expected number of failures, system renewal cycle, expected system up time, etc.) do not often lend themselves to possess closed-form formulas. It is thus quite common to impose simplifying assumptions on input probability distributions of components' lifetime or repair policies. Simplifying the complex structure of a multi-unit system to a k-out-of-n system by neglecting any sources of dependencies is another commonly practiced technique intended to increase the mathematical tractability of a particular model. This dissertation presents a proposal for an alternative methodology to solve optimal maintenance problems by aiming to achieve the same end-goals as Reliability Centered Maintenance (RCM). RCM was first introduced to the aircraft industry in an attempt to bridge the gap between the empirically-driven and theory-driven approaches to establishing optimal maintenance policies. Under RCM, qualitative processes that enable the prioritizing of functions based on the criticality and influence would be combined with mathematical modeling to obtain the optimal maintenance policies. Where this thesis work deviates from RCM is its proposal to directly apply quantitative processes to model the reliability measures in optimal maintenance problem. First, Monte Carlo (MC) simulation, in conjunction with a pre-determined Design of Experiments (DOE) table, can be used as a numerical means of obtaining the corresponding discrete simulated outcomes of the reliability measures based on the combination of decision variables (e.g., periodic preventive maintenance interval, trigger age for opportunistic maintenance, etc.). These discrete simulation results can then be regressed as Response Surface Equations (RSEs) with respect to the decision variables. Such an approach to represent the reliability measures with continuous surrogate functions (i.e., the RSEs) not only enables the application of the numerical optimization technique to solve for optimal maintenance policies, but also obviates the need to make mathematical assumptions or impose over-simplifications on the structure of a multi-unit system for the sake of mathematical tractability. The applicability of the proposed methodology to a real-world optimal maintenance problem is showcased through its application to a Time Limited Dispatch (TLD) of Full Authority Digital Engine Control (FADEC) system. In broader terms, this proof-of-concept exercise can be described as a constrained optimization problem, whose objective is to identify the optimal system inspection interval that guarantees a certain level of availability for a multi-unit system. A variety of reputable numerical techniques were used to model the problem as accurately as possible, including algorithms for the MC simulation, imperfect maintenance model from quasi renewal processes, repair time simulation, and state transition rules. Variance Reduction Techniques (VRTs) were also used in an effort to enhance MC simulation efficiency. After accurate MC simulation results are obtained, the RSEs are generated based on the goodness-of-fit measure to yield as parsimonious model as possible to construct the optimization problem. Under the assumption of constant failure rate for lifetime distributions, the inspection interval from the proposed methodology was found to be consistent with the one from the common approach used in industry that leverages Continuous Time Markov Chain (CTMC). While the latter does not consider maintenance cost settings, the proposed methodology enables an operator to consider different types of maintenance cost settings, e.g., inspection cost, system corrective maintenance cost, etc., to result in more flexible maintenance policies. When the proposed methodology was applied to the same TLD of FADEC example, but under the more generalized assumption of strictly Increasing Failure Rate (IFR) for lifetime distribution, it was shown to successfully capture component wear-out, as well as the economic dependencies among the system components.

Modeling maintenance-strategies with rainbow nets

NASA Astrophysics Data System (ADS)

Johnson, Allen M., Jr.; Schoenfelder, Michael A.; Lebold, David

The Rainbow net (RN) modeling technique offers a promising alternative to traditional reliability modeling techniques. RNs are evaluated through discrete event simulation. Using specialized tokens to represent systems and faults, an RN models the fault-handling behavior of an inventory of systems produced over time. In addition, a portion of the RN represents system repair and the vendor's spare part production. Various dependability parameters are measured and used to calculate the impact of four variations of maintenance strategies. Input variables are chosen to demonstrate the technique. The number of inputs allowed to vary is intentionally constrained to limit the volume of data presented and to avoid overloading the reader with complexity. If only availability data were reviewed, it is possible that the conclusion might be drawn that both strategies are about the same and therefore the cheaper strategy from the vendor's perspective may be chosen. The richer set of metrics provided by the RN simulation gives greater insight into the problem, which leads to better decisions. By using RNs, the impact of several different variables is integrated.

Optimal infrastructure maintenance scheduling problem under budget uncertainty.

DOT National Transportation Integrated Search

2010-05-01

This research addresses a general class of infrastructure asset management problems. Infrastructure : agencies usually face budget uncertainties that will eventually lead to suboptimal planning if : maintenance decisions are made without taking the u...

Using Decision Analysis to Select Facility Maintenance Management Information Systems

DTIC Science & Technology

2010-03-01

efficient way possible. Many of today’s maintenance managers thus apply computerized tools that come in the form of information systems that assist in... apply to effectively select a maintenance management information system that enables them to meet the needs of their customers. 3 1.2 Background...recession of the early 1990s. During this time, companies downsized their white-collar workforce performing daily operation and maintenance functions

Metabolic requirements for the maintenance of self-renewing stem cells

PubMed Central

Ito, Keisuke; Suda, Toshio

2014-01-01

A distinctive feature of stem cells is their capacity to self-renew to maintain pluripotency. Studies of genetically-engineered mouse models and recent advances in metabolomic analysis, particularly in haematopoietic stem cells, have deepened our understanding of the contribution made by metabolic cues to the regulation of stem cell self-renewal. Many types of stem cells heavily rely on anaerobic glycolysis, and stem cell function is also regulated by bioenergetic signalling, the AKT–mTOR pathway, Gln metabolism and fatty acid metabolism. As maintenance of a stem cell pool requires a finely-tuned balance between self-renewal and differentiation, investigations into the molecular mechanisms and metabolic pathways underlying these decisions hold great therapeutic promise. PMID:24651542

Strategic Budgeting.

ERIC Educational Resources Information Center

Jones, Dennis P.

1993-01-01

An approach to college budgeting that encompasses strategic as well as operational decisions is proposed. Strategic decisions focus on creation and maintenance of institutional capacity, whereas operational decisions focus on use of that capacity to accomplish specific purposes. Strategic budgeting must emphasize institutional assets and their…

Environmental management system for transportation maintenance operations : [technical brief].

DOT National Transportation Integrated Search

2014-04-01

This report provides the framework for the environmental management system to analyze : greenhouse gas emissions from transportation maintenance operations. The system enables user : to compare different scenarios and make informed decisions to minim...

25 CFR 171.125 - Can I appeal BIA decisions?

Code of Federal Regulations, 2010 CFR

2010-04-01

... 25 Indians 1 2010-04-01 2010-04-01 false Can I appeal BIA decisions? 171.125 Section 171.125 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR LAND AND WATER IRRIGATION OPERATION AND MAINTENANCE General Provisions § 171.125 Can I appeal BIA decisions? (a) You may appeal our decisions in...

A development of logistics management models for the Space Transportation System

NASA Technical Reports Server (NTRS)

Carrillo, M. J.; Jacobsen, S. E.; Abell, J. B.; Lippiatt, T. F.

1983-01-01

A new analytic queueing approach was described which relates stockage levels, repair level decisions, and the project network schedule of prelaunch operations directly to the probability distribution of the space transportation system launch delay. Finite source population and limited repair capability were additional factors included in this logistics management model developed specifically for STS maintenance requirements. Data presently available to support logistics decisions were based on a comparability study of heavy aircraft components. A two-phase program is recommended by which NASA would implement an integrated data collection system, assemble logistics data from previous STS flights, revise extant logistics planning and resource requirement parameters using Bayes-Lin techniques, and adjust for uncertainty surrounding logistics systems performance parameters. The implementation of these recommendations can be expected to deliver more cost-effective logistics support.

Approach of Decision Making Based on the Analytic Hierarchy Process for Urban Landscape Management

NASA Astrophysics Data System (ADS)

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Approach of decision making based on the analytic hierarchy process for urban landscape management.

PubMed

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Maintenance Audit through Value Analysis Technique: A Case Study

NASA Astrophysics Data System (ADS)

Carnero, M. C.; Delgado, S.

2008-11-01

The increase in competitiveness, technological changes and the increase in the requirements of quality and service have forced a change in the design and application of maintenance, as well as the way in which it is considered within the managerial strategy. There are numerous maintenance activities that must be developed in a service company. As a result the maintenance functions as a whole have to be outsourced. Nevertheless, delegating this subject to specialized personnel does not exempt the company from responsibilities, but rather leads to the need for control of each maintenance activity. In order to achieve this control and to evaluate the efficiency and effectiveness of the company it is essential to carry out an audit that diagnoses the problems that could develop. In this paper a maintenance audit applied to a service company is developed. The methodology applied is based on the expert systems. The expert system by means of rules uses the weighting technique SMART and value analysis to obtain the weighting between the decision functions and between the alternatives. The expert system applies numerous rules and relations between different variables associated with the specific maintenance functions, to obtain the maintenance state by sections and the general maintenance state of the enterprise. The contributions of this paper are related to the development of a maintenance audit in a service enterprise, in which maintenance is not generally considered a strategic subject and to the integration of decision-making tools such as the weighting technique SMART with value analysis techniques, typical in the design of new products, in the area of the rule-based expert systems.

Modeling new coal projects: supercritical or subcritical?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Carrino, A.J.; Jones, R.B.

Decisions made on new build coal-fired plants are driven by several factors - emissions, fuel logistics and electric transmission access all provide constraints. The crucial economic decision whether to build supercritical or subcritical units often depends on assumptions concerning the reliability/availability of each technology, the cost of on-fuel operations including maintenance, the generation efficiencies and the potential for emissions credits at some future value. Modeling the influence of these key factors requires analysis and documentation to assure the assets actually meet the projected financial performance. This article addresses some of the issue related to the trade-offs that have the potentialmore » to be driven by the supercritical/subcritical decision. Solomon Associates has been collecting cost, generation and reliability data on coal-fired power generation assets for approximately 10 years using a strict methodology and taxonomy to categorize and compare actual plant operations data. This database provides validated information not only on performance, but also on alternative performance scenarios, which can provide useful insights in the pro forma financial analysis and models of new plants. 1 ref., 1 fig., 3 tabs.« less

Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms

DOE PAGES

Sperstad, Iver Bakken; Stålhane, Magnus; Dinwoodie, Iain; ...

2017-09-23

Optimising the operation and maintenance (O&M) and logistics strategy of offshore wind farms implies the decision problem of selecting the vessel fleet for O&M. Different strategic decision support tools can be applied to this problem, but much uncertainty remains regarding both input data and modelling assumptions. Our paper aims to investigate and ultimately reduce this uncertainty by comparing four simulation tools, one mathematical optimisation tool and one analytic spreadsheet-based tool applied to select the O&M access vessel fleet that minimizes the total O&M cost of a reference wind farm. The comparison shows that the tools generally agree on the optimalmore » vessel fleet, but only partially agree on the relative ranking of the different vessel fleets in terms of total O&M cost. The robustness of the vessel fleet selection to various input data assumptions was tested, and the ranking was found to be particularly sensitive to the vessels' limiting significant wave height for turbine access. Also the parameter with the greatest discrepancy between the tools, implies that accurate quantification and modelling of this parameter is crucial. The ranking is moderately sensitive to turbine failure rates and vessel day rates but less sensitive to electricity price and vessel transit speed.« less

Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sperstad, Iver Bakken; Stålhane, Magnus; Dinwoodie, Iain

Optimising the operation and maintenance (O&M) and logistics strategy of offshore wind farms implies the decision problem of selecting the vessel fleet for O&M. Different strategic decision support tools can be applied to this problem, but much uncertainty remains regarding both input data and modelling assumptions. Our paper aims to investigate and ultimately reduce this uncertainty by comparing four simulation tools, one mathematical optimisation tool and one analytic spreadsheet-based tool applied to select the O&M access vessel fleet that minimizes the total O&M cost of a reference wind farm. The comparison shows that the tools generally agree on the optimalmore » vessel fleet, but only partially agree on the relative ranking of the different vessel fleets in terms of total O&M cost. The robustness of the vessel fleet selection to various input data assumptions was tested, and the ranking was found to be particularly sensitive to the vessels' limiting significant wave height for turbine access. Also the parameter with the greatest discrepancy between the tools, implies that accurate quantification and modelling of this parameter is crucial. The ranking is moderately sensitive to turbine failure rates and vessel day rates but less sensitive to electricity price and vessel transit speed.« less

Development and application of a model for the analysis of trades between space launch system operations and acquisition costs

NASA Astrophysics Data System (ADS)

Nix, Michael B.

2005-12-01

Early design decisions in the development of space launch systems determine the costs to acquire and operate launch systems. Some sources indicate that as much as 90% of life cycle costs are fixed by the end of the critical design review phase. System characteristics determined by these early decisions are major factors in the acquisition cost of flight hardware elements and facilities and influence operations costs through the amount of maintenance and support labor required to sustain system function. Operations costs are also dependent on post-development management decisions regarding how much labor will be deployed to meet requirements of market demand and ownership profit. The ability to perform early trade-offs between these costs is vital to the development of systems that have the necessary capacity to provide service and are profitable to operate. An Excel-based prototype model was developed for making early analyses of trade-offs between the costs to operate a space launch system and to acquire the necessary assets to meet a given set of operational requirements. The model, integrating input from existing models and adding missing capability, allows the user to make such trade-offs across a range of operations concepts (required flight rates, staffing levels, shifts per workday, workdays per week and per year, unreliability, wearout and depot maintenance) and the number, type and capability of assets (flight hardware elements, processing and supporting facilities and infrastructure). The costs and capabilities of hypothetical launch systems can be modeled as a function of interrelated turnaround times and labor resource levels, and asset loss and retirement. The number of flight components and facilities required can be calculated and the operations and acquisition costs compared for a specified scenario. Findings, based on the analysis of a hypothetical two stage to orbit, reusable, unmanned launch system, indicate that the model is suitable for the trade-off analyses desired. The minimum turnaround time/maximum labor allocation for specific hardware configurations and characteristics and corresponding asset requirements can be estimated. Either turnaround time or resources can be varied and the resulting operations and acquisition costs can be compared. Asset reliability, wearout and depot maintenance intervals and durations can be varied as well to analyze the effects on costs. Likewise, the effects on operations and acquisitions costs of the introduction of alternative technologies that affect reliability, maintainability and supportability in various hardware configurations can be evaluated.

An Introduction to Risk with a Focus on Design Diversity in the Stockpile

DOE Office of Scientific and Technical Information (OSTI.GOV)

Noone, Bailey C

2012-08-13

The maintenance and security of nuclear weapons in the stockpile involves decisions based on risk analysis and quantitative measures of risk. Risk is a factor in all decisions, a particularly important factor in decisions of a large scale. One example of high-risk decisions we will discuss is the risk involved in design diversity within the stockpile of nuclear weapons arsenal. Risk is defined as 'possibility of loss or injury' and the 'degree of probability of such loss' (Kaplan and Garrick 12). To introduce the risk involved with maintaining the weapons stockpile we will draw a parallel to the design andmore » maintenance of Southwest Airlines fleet of Boeing 737 planes. The clear benefits for cost savings in maintenance of having a uniform fleet are what historically drove Southwest to have only Boeing 737s in their fleet. Less money and resources are need for maintenance, training, and materials. Naturally, risk accompanies those benefits. A defect in a part of the plane indicates a potential defect in that same part in all the planes of the fleet. As a result, safety, business, and credibility are at risk. How much variety or diversity does the fleet need to mitigate that risk? With that question in mind, a balance is needed to accommodate the different risks and benefits of the situation. In a similar way, risk is analyzed for the design and maintenance of nuclear weapons in the stockpile. In conclusion, risk must be as low as possible when it comes to the nuclear weapons stockpile. Design and care to keep the stockpile healthy involves all aspects of risk management. Design diversity is a method that helps to mitigate risk, and to help balance options in stockpile stewardship.« less

Developing a comprehensive training curriculum for integrated predictive maintenance

NASA Astrophysics Data System (ADS)

Wurzbach, Richard N.

2002-03-01

On-line equipment condition monitoring is a critical component of the world-class production and safety histories of many successful nuclear plant operators. From addressing availability and operability concerns of nuclear safety-related equipment to increasing profitability through support system reliability and reduced maintenance costs, Predictive Maintenance programs have increasingly become a vital contribution to the maintenance and operation decisions of nuclear facilities. In recent years, significant advancements have been made in the quality and portability of many of the instruments being used, and software improvements have been made as well. However, the single most influential component of the success of these programs is the impact of a trained and experienced team of personnel putting this technology to work. Changes in the nature of the power generation industry brought on by competition, mergers, and acquisitions, has taken the historically stable personnel environment of power generation and created a very dynamic situation. As a result, many facilities have seen a significant turnover in personnel in key positions, including predictive maintenance personnel. It has become the challenge for many nuclear operators to maintain the consistent contribution of quality data and information from predictive maintenance that has become important in the overall equipment decision process. These challenges can be met through the implementation of quality training to predictive maintenance personnel and regular updating and re-certification of key technology holders. The use of data management tools and services aid in the sharing of information across sites within an operating company, and with experts who can contribute value-added data management and analysis. The overall effectiveness of predictive maintenance programs can be improved through the incorporation of newly developed comprehensive technology training courses. These courses address the use of key technologies such as vibration analysis, infrared thermography, and oil analysis not as singular entities, but as a toolbox resource from which to address overall equipment and plant reliability in a structured program and decision environment.

Fuzzy logic inference-based Pavement Friction Management and real-time slippery warning systems: A proof of concept study.

PubMed

Najafi, Shahriar; Flintsch, Gerardo W; Khaleghian, Seyedmeysam

2016-05-01

Minimizing roadway crashes and fatalities is one of the primary objectives of highway engineers, and can be achieved in part through appropriate maintenance practices. Maintaining an appropriate level of friction is a crucial maintenance practice, due to the effect it has on roadway safety. This paper presents a fuzzy logic inference system that predicts the rate of vehicle crashes based on traffic level, speed limit, and surface friction. Mamdani and Sugeno fuzzy controllers were used to develop the model. The application of the proposed fuzzy control system in a real-time slippery road warning system is demonstrated as a proof of concept. The results of this study provide a decision support model for highway agencies to monitor their network's friction and make appropriate judgments to correct deficiencies based on crash risk. Furthermore, this model can be implemented in the connected vehicle environment to warn drivers of potentially slippery locations. Published by Elsevier Ltd.

Machine learning for the New York City power grid.

PubMed

Rudin, Cynthia; Waltz, David; Anderson, Roger N; Boulanger, Albert; Salleb-Aouissi, Ansaf; Chow, Maggie; Dutta, Haimonti; Gross, Philip N; Huang, Bert; Ierome, Steve; Isaac, Delfina F; Kressner, Arthur; Passonneau, Rebecca J; Radeva, Axinia; Wu, Leon

2012-02-01

Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general process for transforming historical electrical grid data into models that aim to predict the risk of failures for components and systems. These models can be used directly by power companies to assist with prioritization of maintenance and repair work. Specialized versions of this process are used to produce 1) feeder failure rankings, 2) cable, joint, terminator, and transformer rankings, 3) feeder Mean Time Between Failure (MTBF) estimates, and 4) manhole events vulnerability rankings. The process in its most general form can handle diverse, noisy, sources that are historical (static), semi-real-time, or realtime, incorporates state-of-the-art machine learning algorithms for prioritization (supervised ranking or MTBF), and includes an evaluation of results via cross-validation and blind test. Above and beyond the ranked lists and MTBF estimates are business management interfaces that allow the prediction capability to be integrated directly into corporate planning and decision support; such interfaces rely on several important properties of our general modeling approach: that machine learning features are meaningful to domain experts, that the processing of data is transparent, and that prediction results are accurate enough to support sound decision making. We discuss the challenges in working with historical electrical grid data that were not designed for predictive purposes. The “rawness” of these data contrasts with the accuracy of the statistical models that can be obtained from the process; these models are sufficiently accurate to assist in maintaining New York City’s electrical grid.

Promoting Maintenance and Generalization through Cognitive Decision Making Training

ERIC Educational Resources Information Center

Fore, Cecil, III; Riser, Susan E.

2005-01-01

This article investigates issues in the areas of work outcomes, self-determination, career decision-making skills, person centered planning, and transitional planning for students with disabilities. In particular, training in cognitive decision-making is suggested for students with mild disabilities. Educators and schools are charged with…

Prioritization of Stockpile Maintenance with Layered Pareto Fronts

DOE Office of Scientific and Technical Information (OSTI.GOV)

Burke, Sarah E.; Anderson-Cook, Christine M.; Lu, Lu

Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This study demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing available units, and the consequences if adequate numbers of units are not available. This case study, while specific to the characteristics of a group of munitions stockpiles, illustrates the general process of structured decision-making based on first identifying appropriate metrics that summarize the important dimensions of the decision, and then objectively eliminating non-contenders frommore » further consideration. Finally, the final subjective stage incorporates user priorities to select the four stockpiles to receive additional maintenance and surveillance funds based on understanding the trade-offs and robustness to various user priorities.« less

Prioritization of Stockpile Maintenance with Layered Pareto Fronts

DOE PAGES

Burke, Sarah E.; Anderson-Cook, Christine M.; Lu, Lu; ...

2017-10-11

Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This study demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing available units, and the consequences if adequate numbers of units are not available. This case study, while specific to the characteristics of a group of munitions stockpiles, illustrates the general process of structured decision-making based on first identifying appropriate metrics that summarize the important dimensions of the decision, and then objectively eliminating non-contenders frommore » further consideration. Finally, the final subjective stage incorporates user priorities to select the four stockpiles to receive additional maintenance and surveillance funds based on understanding the trade-offs and robustness to various user priorities.« less

Optimization of replacement and inspection decisions for multiple components on a power system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mauney, D.A.

1994-12-31

The use of optimization on the rescheduling of replacement dates provided a very proactive approach to deciding when components on individual units need to be addressed with a run/repair/replace decision. Including the effects of time value of money and taxes and unit need inside the spreadsheet model allowed the decision maker to concentrate on the effects of engineering input and replacement date decisions on the final net present value (NPV). The personal computer (PC)-based model was applied to a group of 140 forced outage critical fossil plant tube components across a power system. The estimated resulting NPV of the optimizationmore » was in the tens of millions of dollars. This PC spreadsheet model allows the interaction of inputs from structural reliability risk assessment models, plant foreman interviews, and actual failure history on a by component by unit basis across a complete power production system. This model includes not only the forced outage performance of these components caused by tube failures but, in addition, the forecasted need of the individual units on the power system and the expected cost of their replacement power if forced off line. The use of cash flow analysis techniques in the spreadsheet model results in the calculation of an NPV for a whole combination of replacement dates. This allows rapid assessments of {open_quotes}what if{close_quotes} scenarios of major maintenance projects on a systemwide basis and not just on a unit-by-unit basis.« less

Explaining sex differences in lifespan in terms of optimal energy allocation in the baboon.

PubMed

King, Annette M; Kirkwood, Thomas B L; Shanley, Daryl P

2017-10-01

We provide a quantitative test of the hypothesis that sex role specialization may account for sex differences in lifespan in baboons if such specialization causes the dependency of fitness upon longevity, and consequently the optimal resolution to an energetic trade-off between somatic maintenance and other physiological functions, to differ between males and females. We present a model in which females provide all offspring care and males compete for access to reproductive females and in which the partitioning of available energy between the competing fitness-enhancing functions of growth, maintenance, and reproduction is modeled as a dynamic behavioral game, with the optimal decision for each individual depending upon his/her state and the behavior of other members of the population. Our model replicates the sexual dimorphism in body size and sex differences in longevity and reproductive scheduling seen in natural populations of baboons. We show that this outcome is generally robust to perturbations in model parameters, an important finding given that the same behavior is seen across multiple populations and species in the wild. This supports the idea that sex differences in longevity result from differences in the value of somatic maintenance relative to other fitness-enhancing functions in keeping with the disposable soma theory. © 2017 The Author(s). Evolution © 2017 The Society for the Study of Evolution.

Planification de la maintenance d'un parc de turbines-alternateurs par programmation mathematique

NASA Astrophysics Data System (ADS)

Aoudjit, Hakim

A growing number of Hydro-Quebec's hydro generators are at the end of their useful life and maintenance managers fear to face a number of overhauls exceeding what can be handled. Maintenance crews and budgets are limited and these withdrawals may take up to a full year and mobilize significant resources in addition to the loss of electricity production. In addition, increased export sales forecasts and severe production patterns are expected to speed up wear that can lead to halting many units at the same time. Currently, expert judgment is at the heart of withdrawals which rely primarily on periodic inspections and in-situ measurements and the results are sent to the maintenance planning team who coordinate all the withdrawals decisions. The degradations phenomena taking place is random in nature and the prediction capability of wear using only inspections is limited to short-term at best. A long term planning of major overhauls is sought by managers for the sake of justifying and rationalizing budgets and resources. The maintenance managers are able to provide a huge amount of data. Among them, is the hourly production of each unit for several years, the repairs history on each part of a unit as well as major withdrawals since the 1950's. In this research, we tackle the problem of long term maintenance planning for a fleet of 90 hydro generators at Hydro-Quebec over a 50 years planning horizon period. We lay a scientific and rational framework to support withdrawals decisions by using part of the available data and maintenance history while fulfilling a set of technical and economic constraints. We propose a planning approach based on a constrained optimization framework. We begin by decomposing and sorting hydro generator components to highlight the most influential parts. A failure rate model is developed to take into account the technical characteristics and unit utilization. Then, replacement and repair policies are evaluated for each of the components then strategies are derived for the whole unit. Traditional univariate policies such as the age replacement policy and the minimal repair policy are calculated. These policies are extended to build alternative bivariate maintenance policy as well as a repair strategy where the state of a component after a repair is rejuvenated by a constant coefficient. These templates form the basis for the calculation of objective function for the scheduling problem. On one hand, this issue is treated as a nonlinear problem where the objective is to minimize the average total maintenance cost per unit of time on an infinite horizon for the fleet with technical and economic constraints. A formulation is also proposed in the case of a finite time horizon. In the event of electricity production variation, and given that the usage profile is known, the influence of production scenarios is reflected on the unit's components through their failure rate. In this context, prognoses on possible resources problems are made by studying the characteristics of the generated plans. On the second hand, the withdrawals are now subjected to two decision criteria. In addition to minimizing the average total maintenance cost per unit of time on an infinite time horizon, the best achievable reliability of remaining turbo generators is sought. This problem is treated as a biobjective nonlinear optimization problem. Finally a series of problems describing multiple contexts are solved for planning renovations of 90 turbo generators units considering 3 major components in each unit and 2 types of maintenance policies for each component.

Analysis of Railroad Track Maintenance Expenditures for Class I Railroads 1962-1977

DOT National Transportation Integrated Search

1982-02-01

This study investigates the decision-making process for railroad track maintenance (T/M) expenditures. The objectives are to (1) describe how Federal track safety standards have influenced this process and (2) try to predict the impact of changes in ...

Investigation of the implementation of a probe-vehicle based pavement roughness estimation system.

DOT National Transportation Integrated Search

2011-08-01

As roadway systems age and maintenance budgets shrink, a need emerges for timely and roughness data for pavement maintenance decision-making. The Virginia Department of Transportation (VDOT) maintains the third-largest state network of roadways in Am...

Decision Support for the Capacity Management of Bronchoscopy Devices: Optimizing the Cost-Efficient Mix of Reusable and Single-Use Devices Through Mathematical Modeling.

PubMed

Edenharter, Günther M; Gartner, Daniel; Pförringer, Dominik

2017-06-01

Increasing costs of material resources challenge hospitals to stay profitable. Particularly in anesthesia departments and intensive care units, bronchoscopes are used for various indications. Inefficient management of single- and multiple-use systems can influence the hospitals' material costs substantially. Using mathematical modeling, we developed a strategic decision support tool to determine the optimum mix of disposable and reusable bronchoscopy devices in the setting of an intensive care unit. A mathematical model with the objective to minimize costs in relation to demand constraints for bronchoscopy devices was formulated. The stochastic model decides whether single-use, multi-use, or a strategically chosen mix of both device types should be used. A decision support tool was developed in which parameters for uncertain demand such as mean, standard deviation, and a reliability parameter can be inserted. Furthermore, reprocessing costs per procedure, procurement, and maintenance costs for devices can be parameterized. Our experiments show for which demand pattern and reliability measure, it is efficient to only use reusable or disposable devices and under which circumstances the combination of both device types is beneficial. To determine the optimum mix of single-use and reusable bronchoscopy devices effectively and efficiently, managers can enter their hospital-specific parameters such as demand and prices into the decision support tool.The software can be downloaded at: https://github.com/drdanielgartner/bronchomix/.

Requirements for plant coexistence through pollination niche partitioning

PubMed Central

Benadi, Gita

2015-01-01

Plant–pollinator interactions are often thought to have been a decisive factor in the diversification of flowering plants, but to be of little or no importance for the maintenance of existing plant diversity. In a recent opinion paper, Pauw (2013 Trends Ecol. Evol. 28, 30–37. (doi:10.1016/j.tree.2012.07.019)) challenged this view by proposing a mechanism of diversity maintenance based on pollination niche partitioning. In this article, I investigate under which conditions the mechanism suggested by Pauw can promote plant coexistence, using a mathematical model of plant and pollinator population dynamics. Numerical simulations show that this mechanism is most effective when the costs of searching for flowers are low, pollinator populations are strongly limited by resources other than pollen and nectar, and plant–pollinator interactions are sufficiently specialized. I review the empirical literature on these three requirements, discuss additional factors that may be important for diversity maintenance through pollination niche partitioning, and provide recommendations on how to detect this coexistence mechanism in natural plant communities. PMID:26108627

The Effects of Decision-Making Style and Cognitive Thought Patterns on Negative Career Thoughts

ERIC Educational Resources Information Center

Paivandy, Sheba; Bullock, Emily E.; Reardon, Robert C.; Kelly, F. Donald

2008-01-01

People's thoughts and beliefs about themselves and their career options affect their ability to make decisions. Career counselors would benefit from knowing the factors that contribute to negative career thoughts. This study examined two unexplored factors that may affect the development and maintenance of negative career thoughts, decision-making…

The Hidden Cost of Buying a Computer.

ERIC Educational Resources Information Center

Johnson, Michael

1983-01-01

In order to process data in a computer, application software must be either developed or purchased. Costs for modifications of the software package and maintenance are often hidden. The decision to buy or develop software packages should be based upon factors of time and maintenance. (MLF)

Tough Choices.

ERIC Educational Resources Information Center

Kennedy, Mike

2002-01-01

Explores the decision by colleges and universities to outsource or self-operate school services such as food, bookstores, and maintenance. Discusses factors influencing the decision, the pros and cons of outsourcing, and the importance of maintaining the goal of improving operations. (EV)

Real-time sun protection decisions in first-degree relatives of melanoma patients.

PubMed

Hay, Jennifer L; Shuk, Elyse; Schofield, Elizabeth; Loeb, Rebecca; Holland, Susan; Burkhalter, Jack; Li, Yuelin

2017-09-01

Melanoma is the most serious skin cancer, and consistent use of sun protection is recommended to reduce risk. Yet sun protection use is generally inconsistent. Understanding the decisional factors driving sun protection choices could aid in intervention development to promote sun protection maintenance. In 59 first-degree relatives of melanoma patients, an interactive voice response system (IVRS) on participants' cell phones was used to assess twice daily (morning, afternoon) real-time sun protection usage (sunscreen, shade, hats, protective clothing) and decision factors (weather, type of activity, convenience, social support) over a 14-day summer interval where morning and afternoon outdoor exposures were anticipated. Generalized estimating equations and hierarchical linear models were used to examine the effect of demographics and decisional factors on sun protection choices over time. Sun protection use was inconsistent (e.g., 61% used sunscreen inconsistently). Most strategies were used independently, with the exception of moderate overlap of sunscreen and hat usage. Decision factors were highly relevant for sun protection. For instance, sunscreen use was related to the perception of having adequate time to apply it, whereas shade and hat usage were each related to convenience. Few findings emerged by gender, age, time of day, or year. Significant within-subject variation remained, however. The findings support continued examination of decision factors in understanding sun protection consistency in real time. Interventions where cues to action and environmental supports work together in varied settings can be developed to improve sun protection maintenance in populations at risk for this common disease. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Model-Informed Drug Development for Ixazomib, an Oral Proteasome Inhibitor.

PubMed

Gupta, Neeraj; Hanley, Michael J; Diderichsen, Paul M; Yang, Huyuan; Ke, Alice; Teng, Zhaoyang; Labotka, Richard; Berg, Deborah; Patel, Chirag; Liu, Guohui; van de Velde, Helgi; Venkatakrishnan, Karthik

2018-02-15

Model-informed drug development (MIDD) was central to the development of the oral proteasome inhibitor ixazomib, facilitating internal decisions (switch from body surface area (BSA)-based to fixed dosing, inclusive phase III trials, portfolio prioritization of ixazomib-based combinations, phase III dose for maintenance treatment), regulatory review (model-informed QT analysis, benefit-risk of 4 mg dose), and product labeling (absolute bioavailability and intrinsic/extrinsic factors). This review discusses the impact of MIDD in enabling patient-centric therapeutic optimization during the development of ixazomib. © 2017 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

Does Your Technology Support Measure Up?

ERIC Educational Resources Information Center

Abramson, Paul

1998-01-01

Provides tips on ways to keep computer systems in colleges and universities from failing while also controlling costs. Trinity College (Hartford) is used to illustrate how proper staffing, system maintenance, hardware purchasing decisions, technician compensation, and the use of students for maintenance work can effectively support a school's…

Using Value-Focused Thinking to Evaluate the Practicality of Porous Pavement Parking Areas on Air Force Installations

DTIC Science & Technology

2006-03-01

data for conventional systems was obtained mainly through the RS Means Assemblies Cost Data book (Balboni, 2005) while Bruce Ferguson’s Porous...Pavements book provided much of the information for porous systems (Ferguson, 2005). Additional information regarding pavement maintenance, inspection...Jacobs, M. M. J., Stet, M. J. A., & Molenaar , A. A. A. (2002). Decision model for the use of polymer modified binders in asphalt concrete for airfields

Maintenance Training Simulators Prime Item Development Specification. Model Specification and Handbook.

DTIC Science & Technology

1985-04-01

and equipment whose operation can be verified with a visual or aural check. The sequence of outputs shall be cyclic, with provisions to stop the...private memory. The decision to provide spare, expansion capability, or a combination of both shall be based on life cycle cost (to the best extent...Computational System should be determined in conjunction with a computer expert (if possible). In any event, it is best to postpone completing - this

Molecular Genetics Information System (MOLGENIS): alternatives in developing local experimental genomics databases.

PubMed

Swertz, Morris A; De Brock, E O; Van Hijum, Sacha A F T; De Jong, Anne; Buist, Girbe; Baerends, Richard J S; Kok, Jan; Kuipers, Oscar P; Jansen, Ritsert C

2004-09-01

Genomic research laboratories need adequate infrastructure to support management of their data production and research workflow. But what makes infrastructure adequate? A lack of appropriate criteria makes any decision on buying or developing a system difficult. Here, we report on the decision process for the case of a molecular genetics group establishing a microarray laboratory. Five typical requirements for experimental genomics database systems were identified: (i) evolution ability to keep up with the fast developing genomics field; (ii) a suitable data model to deal with local diversity; (iii) suitable storage of data files in the system; (iv) easy exchange with other software; and (v) low maintenance costs. The computer scientists and the researchers of the local microarray laboratory considered alternative solutions for these five requirements and chose the following options: (i) use of automatic code generation; (ii) a customized data model based on standards; (iii) storage of datasets as black boxes instead of decomposing them in database tables; (iv) loosely linking to other programs for improved flexibility; and (v) a low-maintenance web-based user interface. Our team evaluated existing microarray databases and then decided to build a new system, Molecular Genetics Information System (MOLGENIS), implemented using code generation in a period of three months. This case can provide valuable insights and lessons to both software developers and a user community embarking on large-scale genomic projects. http://www.molgenis.nl

The Evaluation of Screening Process and Local Bureaucracy in Determining the Priority of Urban Roads Maintenance and Rehabilitation

NASA Astrophysics Data System (ADS)

Hendhratmoyo, Andri; Syafi'i; Pungky Pramesti, Florentina

2017-11-01

Due to the limited budget of urban roads maintenance and rehabilitation, its prioritizationis inevitable. Many models have been developed to solve these problems. That is the reason why the purpose of this study was to evaluate the screening process in the decision making of the urban roads maintenance and rehabilitation priority. The prioritization that have to be taken into account on the effect of important criteria are road condition, traffic volume, budget processing and land use. 30 stakeholders were asked to fill in the questionnaires. The object of this case study are 188 urban roads sections at Ponorogo in order to examine the priorities. The researchers collected the data from Surface Distress Index (SDI), traffic volume, budget processing and land use of these road sections. Based on analysis, the weights of the criteria were: road condition (W1) = 0,411; traffic volume (W2) = 0,122; budget processing (W3) = 0,363 and land use (W4) = 0,105. The result of this study by the comparison of the index values of the alternatives priorities, Nyi Ageng Serang Street, was revealed to have the highest priority over the other streets regarding of maintenance and rehabilitation activities.

Identifying the turning point: using the transtheoretical model of change to map intimate partner violence disclosure in emergency department settings.

PubMed

Catallo, Cristina; Jack, Susan M; Ciliska, Donna; Macmillan, Harriet L

2012-01-01

Background. The transtheoretical model of change (TTM) was used as a framework to examine the steps that women took to disclose intimate partner violence (IPV) in urban emergency departments. Methods. Mapping methods portrayed the evolving nature of decisions that facilitated or inhibited disclosure. This paper is a secondary analysis of qualitative data from a mixed methods study that explored abused women's decision making process about IPV disclosure. Findings. Change maps were created for 19 participants with movement from the precontemplation to the maintenance stages of the model. Disclosure often occurred after a significant "turning point event" combined with a series of smaller events over a period of time. The significant life event often involved a weighing of options where participants considered the perceived risks against the potential benefits of disclosure. Conclusions. Abused women experienced intrusion from the chaotic nature of the emergency department. IPV disclosure was perceived as a positive experience when participants trusted the health care provider and felt control over their decisions to disclose IPV. Practice Implications. Nurses can use these findings to gauge the readiness of women to disclose IPV in the emergency department setting.

Identifying the Turning Point: Using the Transtheoretical Model of Change to Map Intimate Partner Violence Disclosure in Emergency Department Settings

PubMed Central

Catallo, Cristina; Jack, Susan M.; Ciliska, Donna; MacMillan, Harriet L.

2012-01-01

Background. The transtheoretical model of change (TTM) was used as a framework to examine the steps that women took to disclose intimate partner violence (IPV) in urban emergency departments. Methods. Mapping methods portrayed the evolving nature of decisions that facilitated or inhibited disclosure. This paper is a secondary analysis of qualitative data from a mixed methods study that explored abused women's decision making process about IPV disclosure. Findings. Change maps were created for 19 participants with movement from the precontemplation to the maintenance stages of the model. Disclosure often occurred after a significant “turning point event” combined with a series of smaller events over a period of time. The significant life event often involved a weighing of options where participants considered the perceived risks against the potential benefits of disclosure. Conclusions. Abused women experienced intrusion from the chaotic nature of the emergency department. IPV disclosure was perceived as a positive experience when participants trusted the health care provider and felt control over their decisions to disclose IPV. Practice Implications. Nurses can use these findings to gauge the readiness of women to disclose IPV in the emergency department setting. PMID:22792480

A strategic value management approach for energy and maintenance management in a building

NASA Astrophysics Data System (ADS)

Nawi, Mohd Nasrun Mohd; Dahlan, Nofri Yenita; Nadarajan, Santhirasegaran

2015-05-01

Fragmentation process is always been highlighted by the stakeholders in the construction industry as one of the `critical' issue that diminishing the opportunity for stakeholders that involved during the operation and maintenance stage to influence design decisions. Failure of design professionals to consider how a maintenance contractor or facility manager will construct the design thus results in higher operating cost, wastage, defects during the maintenance and operation process. Moving towards team integration is considered a significant strategy for overcoming the issue. Value Management is a style of management dedicated to guiding people and promoting innovation with the aim to improve overall building performance through structured, team-oriented exercises which make explicit, and appraise subsequent decisions, by reference to the value requirements of the clients. Accordingly, this paper discusses the fragmentation issue in more detail including the definition, causes and effects to the maintenance and operation of building and at the same time will highlighted the potential of VM integrated team approach as a strategic management approach for overcoming that issue. It also explores that the team integration strategy alleviates scheduling problems, delays and disputes during the construction process, and, hence, prevent harming the overall building performance.

Evolution Of USDOE Performance Assessments Over 20 Years

DOE Office of Scientific and Technical Information (OSTI.GOV)

Seitz, Roger R.; Suttora, Linda C.

2013-02-26

Performance assessments (PAs) have been used for many years for the analysis of post-closure hazards associated with a radioactive waste disposal facility and to provide a reasonable expectation of the ability of the site and facility design to meet objectives for the protection of members of the public and the environment. The use of PA to support decision-making for LLW disposal facilities has been mandated in United States Department of Energy (USDOE) directives governing radioactive waste management since 1988 (currently DOE Order 435.1, Radioactive Waste Management). Prior to that time, PAs were also used in a less formal role. Overmore » the past 20+ years, the USDOE approach to conduct, review and apply PAs has evolved into an efficient, rigorous and mature process that includes specific requirements for continuous improvement and independent reviews. The PA process has evolved through refinement of a graded and iterative approach designed to help focus efforts on those aspects of the problem expected to have the greatest influence on the decision being made. Many of the evolutionary changes to the PA process are linked to the refinement of the PA maintenance concept that has proven to be an important element of USDOE PA requirements in the context of supporting decision-making for safe disposal of LLW. The PA maintenance concept represents the evolution of the graded and iterative philosophy and has helped to drive the evolution of PAs from a deterministic compliance calculation into a systematic approach that helps to focus on critical aspects of the disposal system in a manner designed to provide a more informed basis for decision-making throughout the life of a disposal facility (e.g., monitoring, research and testing, waste acceptance criteria, design improvements, data collection, model refinements). A significant evolution in PA modeling has been associated with improved use of uncertainty and sensitivity analysis techniques to support efficient implementation of the graded and iterative approach. Rather than attempt to exactly predict the migration of radionuclides in a disposal unit, the best PAs have evolved into tools that provide a range of results to guide decision-makers in planning the most efficient, cost effective, and safe disposal of radionuclides.« less

On implementing clinical decision support: achieving scalability and maintainability by combining business rules and ontologies.

PubMed

Kashyap, Vipul; Morales, Alfredo; Hongsermeier, Tonya

2006-01-01

We present an approach and architecture for implementing scalable and maintainable clinical decision support at the Partners HealthCare System. The architecture integrates a business rules engine that executes declarative if-then rules stored in a rule-base referencing objects and methods in a business object model. The rules engine executes object methods by invoking services implemented on the clinical data repository. Specialized inferences that support classification of data and instances into classes are identified and an approach to implement these inferences using an OWL based ontology engine is presented. Alternative representations of these specialized inferences as if-then rules or OWL axioms are explored and their impact on the scalability and maintenance of the system is presented. Architectural alternatives for integration of clinical decision support functionality with the invoking application and the underlying clinical data repository; and their associated trade-offs are discussed and presented.

System design optimization for stand-alone photovoltaic systems sizing by using superstructure model

NASA Astrophysics Data System (ADS)

Azau, M. A. M.; Jaafar, S.; Samsudin, K.

2013-06-01

Although the photovoltaic (PV) systems have been increasingly installed as an alternative and renewable green power generation, the initial set up cost, maintenance cost and equipment mismatch are some of the key issues that slows down the installation in small household. This paper presents the design optimization of stand-alone photovoltaic systems using superstructure model where all possible types of technology of the equipment are captured and life cycle cost analysis is formulated as a mixed integer programming (MIP). A model for investment planning of power generation and long-term decision model are developed in order to help the system engineer to build a cost effective system.

Development of Asset Management Decision Support Tools for Power Equipment

NASA Astrophysics Data System (ADS)

Okamoto, Tatsuki; Takahashi, Tsuguhiro

Development of asset management decision support tools become very intensive in order to reduce maintenance cost of power equipment due to the liberalization of power business. This article reviews some aspects of present status of asset management decision support tools development for power equipment based on the papers published in international conferences, domestic conventions, and several journals.

A Medical Decision Support System for the Space Station Health Maintenance Facility

PubMed Central

Ostler, David V.; Gardner, Reed M.; Logan, James S.

1988-01-01

NASA is developing a Health Maintenance Facility (HMF) to provide the equipment and supplies necessary to deliver medical care in the Space Station. An essential part of the Health Maintenance Facility is a computerized Medical Decision Support System (MDSS) that will enhance the ability of the medical officer (“paramedic” or “physician”) to maintain the crew's health, and to provide emergency medical care. The computer system has four major functions: 1) collect and integrate medical information into an electronic medical record from Space Station medical officers, HMF instrumentation, and exercise equipment; 2) provide an integrated medical record and medical reference information management system; 3) manage inventory for logistical support of supplies and secure pharmaceuticals; 4) supply audio and electronic mail communications between the medical officer and ground based flight surgeons. ImagesFigure 1

Impacts of hospitals' innovativeness on information system outsourcing decisions.

PubMed

Park, Jae Sung

2014-04-01

The purpose of this study was to identify the effects of hospitals' innovativeness on outsourcing decision-making regarding four information system (IS) functions, namely, software programs, network maintenance, hardware systems, and PC/printer maintenance. Using the 2011 roster of the Korean Hospital Association, this study selected 311 general hospitals as a study population. After identifying the managers who were in charge of outsourcing, this study administered questionnaires. A total of 103 hospitals responded. Of the responding hospitals, 55.34% outsourced at least one IS function, whereas 88.35% outsourced at least one managerial function. IS outsourcing was motivated by the need for outside experts, but other managerial functions were outsourced for cost savings. Innovative and early adopter hospitals were 4.52 and 4.91 times more likely to outsource IS functions related with work processes (i.e., software and network maintenance) than early and late majority hospitals, respectively. IT outsourcing effectiveness significantly influenced the outsourcing decisions regarding four IS functions. Hospitals that had perceived more risks of outsourcing significantly preferred non-outsourcing on their hardware systems, but the risks of outsourcing were not significant for outsourcing decisions regarding the other IS functions. Hospitals' innovativeness also significantly explained the quantity of innovation adoptions. Innovative and early adopter hospitals did more outsourcing than early and late majority hospitals. Hospitals' innovativeness influences decision-making regarding outsourcing. Innovative hospitals are more likely to outsource their work-process-related IS functions. Thus, organizational traits, especially hospitals' innovativeness, should be considered as a key success factor for IS management.

Bridge Retrofit or Replacement Decisions: Tools to Assess Sustainability and Aid Decision-Making

DOT National Transportation Integrated Search

2016-08-01

Many bridges in this country have reached their intended service-life, and are deemed in need of maintenance, rehabilitation, and replacement services. A life cycle inventory collects relevant information about sustainability impacts that can be used...

Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

NASA Technical Reports Server (NTRS)

Daigle, Matthew; Goebel, Kai

2011-01-01

Prognostics technologies determine the health (or damage) state of a component or sub-system, and make end of life (EOL) and remaining useful life (RUL) predictions. Such information enables system operators to make informed maintenance decisions and streamline operational and mission-level activities. We develop a model-based prognostics methodology for pneumatic valves used in ground support equipment for cryogenic propellant loading operations. These valves are used to control the flow of propellant, so failures may have a significant impact on launch availability. Therefore, correctly predicting when valves will fail enables timely maintenance that avoids launch delays and aborts. The approach utilizes mathematical models describing the underlying physics of valve degradation, and, employing the particle filtering algorithm for joint state-parameter estimation, determines the health state of the valve and the rate of damage progression, from which EOL and RUL predictions are made. We develop a prototype user interface for valve prognostics, and demonstrate the prognostics approach using historical pneumatic valve data from the Space Shuttle refueling system.

Efficacy of shared decision-making on treatment adherence of patients with bipolar disorder: a cluster randomized trial (ShareD-BD).

PubMed

Samalin, L; Honciuc, M; Boyer, L; de Chazeron, I; Blanc, O; Abbar, M; Llorca, P M

2018-04-13

Shared decision-making (SDM) is a model of interaction between doctors and patients in which both actors contribute to the medical decision-making process. SDM has raised great interest in mental healthcare over the last decade, as it is considered a fundamental part of patient-centered care. However, there is no research evaluating the efficacy of SDM compared to usual care (CAU), as it relates to quality of care and more specifically treatment adherence, in bipolar disorder (BD). This is a 12-month multi-centre, cluster-randomized controlled trial comparing the efficacy of SDM to CAU. Adult BD patients (n = 300) will be eligible after stabilization for at least 4 weeks following an acute mood episode. The intervention will consist of applying the standardized SDM process as developed by the Ottawa Hospital Research Institute in order to choose the maintenance treatment of BD. A multidisciplinary team developed a decision aid "choose my long-term treatment with my doctor" for BD patients to clarify possible therapeutic options. Primary outcome will assess the patient's level of adherence (based on hetero-evaluation) of ongoing treatment at 12 months. Secondary outcomes will assess the difference between the 2 groups of patients in terms of adherence to maintenance drug therapy based on other measures (self-assessment scale and plasma levels of mood stabilizers). Additionally, other dimensions will be assessed: decisional conflict, satisfaction with care and involvement in decision making, beliefs about treatment, therapeutic relationship, knowledge about information for medical decision and clinical outcomes (depression, mania, functioning and quality of life). The primary endpoint will be analysed without adjustment by comparison of adherence scores between the two groups using Student t-tests or Mann-Whitney tests according to the variable distribution. A set of secondary analyses will be adjusted for covariates of clinical interest using generalized linear mixed regression models. This will be the first study evaluating the effect of an SDM intervention on patient adherence in BD. This is also an innovative protocol because it proposes the development of an evidence-based tool that should help patients and clinicians to initiate discussions regarding the use of BD treatment. The study has been registered with ClinicalTrials.gov as NCT03245593 .

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines.

PubMed

Samantra, Chitrasen; Datta, Saurav; Mahapatra, Siba Sankar

2017-03-01

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.

Neural fate decisions mediated by combinatorial regulation of Hes1 and miR-9.

PubMed

Li, Shanshan; Liu, Yanwei; Liu, Zengrong; Wang, Ruiqi

2016-01-01

In the nervous system, Hes1 shows an oscillatory manner in neural progenitors but a persistent one in neurons. Many models involving Hes1 have been provided for the study of neural differentiation but few of them take the role of microRNA into account. It is known that a microRNA, miR-9, plays crucial roles in modulating Hes1 oscillations. However, the roles of miR-9 in controlling Hes1 oscillations and inducing transition between different cell fates still need to be further explored. Here we provide a mathematical model to show the interaction between miR-9 and Hes1, with the aim of understanding how the Hes1 oscillations are produced, how they are controlled, and further, how they are terminated. Based on the experimental findings, the model demonstrates the essential roles of Hes1 and miR-9 in regulating the dynamics of the system. In particular, the model suggests that the balance between miR-9 and Hes1 plays important roles in the choice between progenitor maintenance and neural differentiation. In addition, the synergistic (or antagonistic) effects of several important regulations are investigated so as to elucidate the effects of combinatorial regulation in neural decision-making. Our model provides a qualitative mechanism for understanding the process in neural fate decisions regulated by Hes1 and miR-9.

Medical equipment classification: method and decision-making support based on paraconsistent annotated logic.

PubMed

Oshiyama, Natália F; Bassani, Rosana A; D'Ottaviano, Itala M L; Bassani, José W M

2012-04-01

As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification.

Evaluation of uncertainty in determination of neutral axis and deformed shape of beam structures : final report.

DOT National Transportation Integrated Search

2016-01-01

With aging infrastructure, it becomes crucial to make informed decisions about maintenance and : preservation actions, as well as renewal of civil structures. Structural Health Monitoring (SHM) can be : an important aid in this decision process, but ...

Knowledge focus via software agents

NASA Astrophysics Data System (ADS)

Henager, Donald E.

2001-09-01

The essence of military Command and Control (C2) is making knowledge intensive decisions in a limited amount of time using uncertain, incorrect, or outdated information. It is essential to provide tools to decision-makers that provide: * Management of friendly forces by treating the "friendly resources as a system". * Rapid assessment of effects of military actions againt the "enemy as a system". * Assessment of how an enemy should, can, and could react to friendly military activities. Software agents in the form of mission agents, target agents, maintenance agents, and logistics agents can meet this information challenge. The role of each agent is to know all the details about its assigned mission, target, maintenance, or logistics entity. The Mission Agent would fight for mission resources based on the mission priority and analyze the effect that a proposed mission's results would have on the enemy. The Target Agent (TA) communicates with other targets to determine its role in the system of targets. A system of TAs would be able to inform a planner or analyst of the status of a system of targets, the effect of that status, adn the effect of attacks on that system. The system of TAs would also be able to analyze possible enemy reactions to attack by determining ways to minimize the effect of attack, such as rerouting traffic or using deception. The Maintenance Agent would scheudle maintenance events and notify the maintenance unit. The Logistics Agent would manage shipment and delivery of supplies to maintain appropriate levels of weapons, fuel and spare parts. The central idea underlying this case of software agents is knowledge focus. Software agents are createad automatically to focus their attention on individual real-world entities (e.g., missions, targets) and view the world from that entities perspective. The agent autonomously monitors the entity, identifies problems/opportunities, formulates solutions, and informs the decision-maker. The agent must be able to communicate to receive and disseminate information and provide the decision-maker with assistance via focused knowledge. THe agent must also be able to monitor the state of its own environment and make decisions necessary to carry out its delegated tasks. Agents bring three elements to the C2 domain that offer to improve decision-making. First, they provide higher-quality feedback and provide it more often. In doing so, the feedback loop becomes nearly continuous, reducing or eliminating delays in situation updates to decision-makers. Working with the most current information possible improves the control process, thus enabling effects based operations. Second, the agents accept delegation of actions and perform those actions following an established process. Agents' consistent actions reduce the variability of human input and stabilize the control process. Third, through the delegation of actions, agents ensure 100 percent consideration of plan details.

Using data from monitoring combined sewer overflows to assess, improve, and maintain combined sewer systems.

PubMed

Montserrat, A; Bosch, Ll; Kiser, M A; Poch, M; Corominas, Ll

2015-02-01

Using low-cost sensors, data can be collected on the occurrence and duration of overflows in each combined sewer overflow (CSO) structure in a combined sewer system (CSS). The collection and analysis of real data can be used to assess, improve, and maintain CSSs in order to reduce the number and impact of overflows. The objective of this study was to develop a methodology to evaluate the performance of CSSs using low-cost monitoring. This methodology includes (1) assessing the capacity of a CSS using overflow duration and rain volume data, (2) characterizing the performance of CSO structures with statistics, (3) evaluating the compliance of a CSS with government guidelines, and (4) generating decision tree models to provide support to managers for making decisions about system maintenance. The methodology is demonstrated with a case study of a CSS in La Garriga, Spain. The rain volume breaking point from which CSO structures started to overflow ranged from 0.6 mm to 2.8 mm. The structures with the best and worst performance in terms of overflow (overflow probability, order, duration and CSO ranking) were characterized. Most of the obtained decision trees to predict overflows from rain data had accuracies ranging from 70% to 83%. The results obtained from the proposed methodology can greatly support managers and engineers dealing with real-world problems, improvements, and maintenance of CSSs. Copyright © 2014 Elsevier B.V. All rights reserved.

Impacts of Hospitals' Innovativeness on Information System Outsourcing Decisions

PubMed Central

2014-01-01

Objectives The purpose of this study was to identify the effects of hospitals' innovativeness on outsourcing decision-making regarding four information system (IS) functions, namely, software programs, network maintenance, hardware systems, and PC/printer maintenance. Methods Using the 2011 roster of the Korean Hospital Association, this study selected 311 general hospitals as a study population. After identifying the managers who were in charge of outsourcing, this study administered questionnaires. A total of 103 hospitals responded. Results Of the responding hospitals, 55.34% outsourced at least one IS function, whereas 88.35% outsourced at least one managerial function. IS outsourcing was motivated by the need for outside experts, but other managerial functions were outsourced for cost savings. Innovative and early adopter hospitals were 4.52 and 4.91 times more likely to outsource IS functions related with work processes (i.e., software and network maintenance) than early and late majority hospitals, respectively. IT outsourcing effectiveness significantly influenced the outsourcing decisions regarding four IS functions. Hospitals that had perceived more risks of outsourcing significantly preferred non-outsourcing on their hardware systems, but the risks of outsourcing were not significant for outsourcing decisions regarding the other IS functions. Hospitals' innovativeness also significantly explained the quantity of innovation adoptions. Innovative and early adopter hospitals did more outsourcing than early and late majority hospitals. Conclusions Hospitals' innovativeness influences decision-making regarding outsourcing. Innovative hospitals are more likely to outsource their work-process-related IS functions. Thus, organizational traits, especially hospitals' innovativeness, should be considered as a key success factor for IS management. PMID:24872912

Clarus multi-state regional demonstrations, evaluation of use case #3 : non-winter maintenance decision support system.

DOT National Transportation Integrated Search

2011-05-26

This evaluation report documents benefits, challenges and the lessons learned from the demonstration of a new tool that offers state DOTs the ability to expand decision support beyond snow and ice control to incorporate Clarus data to assist maintena...

Weathering the Storm.

ERIC Educational Resources Information Center

Kennedy, Mike

2000-01-01

Discusses the importance of knowing the type of climate a school is likely to endure as a decision element for selecting a school roofing system. The influence of extreme temperature shifts, wind, and excessive heat in the decision making process are discussed as are ways of improving maintenance and monitoring practices. (GR)

A Pharmacy Blueprint for Electronic Medical Record Implementation Success

PubMed Central

Bach, David S.; Risko, Kenneth R.; Farber, Margo S.; Polk, Gregory J.

2015-01-01

Objective: Implementation of an integrated, electronic medical record (EMR) has been promoted as a means of improving patient safety and quality. While there are a few reports of such processes that incorporate computerized prescriber order entry, pharmacy verification, an electronic medication administration record (eMAR), point-of-care barcode scanning, and clinical decision support, there are no published reports on how a pharmacy department can best participate in implementing such a process across a multihospital health care system. Method: This article relates the experience of the design, build, deployment, and maintenance of an integrated EMR solution from the pharmacy perspective. It describes a 9-month planning and build phase and the subsequent rollout at 8 hospitals over the following 13 months. Results: Key components to success are identified, as well as a set of guiding principles that proved invaluable in decision making and dispute resolution. Labor/personnel requirements for the various stages of the process are discussed, as are issues involving medication workflow analysis, drug database considerations, the development of clinical order sets, and incorporation of bar-code scanning of medications. Recommended implementation and maintenance strategies are presented, and the impact of EMR implementation on the pharmacy practice model and revenue analysis are examined. Conclusion: Adherence to the principles and practices outlined in this article can assist pharmacy administrators and clinicians during all medication-related phases of the development, implementation, and maintenance of an EMR solution. Furthermore, review and incorporation of some or all of practices presented may help ease the process and ensure its success. PMID:26405340

Integration and Assessment of Component Health Prognostics in Supervisory Control Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ramuhalli, Pradeep; Bonebrake, Christopher A.; Dib, Gerges

Enhanced risk monitors (ERMs) for active components in advanced reactor concepts use predictive estimates of component failure to update, in real time, predictive safety and economic risk metrics. These metrics have been shown to be capable of use in optimizing maintenance scheduling and managing plant maintenance costs. Integrating this information with plant supervisory control systems increases the potential for making control decisions that utilize real-time information on component conditions. Such decision making would limit the possibility of plant operations that increase the likelihood of degrading the functionality of one or more components while maintaining the overall functionality of the plant.more » ERM uses sensor data for providing real-time information about equipment condition for deriving risk monitors. This information is used to estimate the remaining useful life and probability of failure of these components. By combining this information with plant probabilistic risk assessment models, predictive estimates of risk posed by continued plant operation in the presence of detected degradation may be estimated. In this paper, we describe this methodology in greater detail, and discuss its integration with a prototypic software-based plant supervisory control platform. In order to integrate these two technologies and evaluate the integrated system, software to simulate the sensor data was developed, prognostic models for feedwater valves were developed, and several use cases defined. The full paper will describe these use cases, and the results of the initial evaluation.« less

Standard Missile-6 (SM-6)

DTIC Science & Technology

2016-12-01

and Maintenance ACAT - Acquisition Category ADM - Acquisition Decision Memorandum APB - Acquisition Program Baseline APPN - Appropriation APUC...Acquisition Program MILCON - Military Construction N/A - Not Applicable O&M - Operations and Maintenance ORD - Operational Requirements Document OSD...RMS) Contractor Location: 1151 Hermans Road Tucson, AZ 85756 Contract Number: N00024-13-C-5407/0 Contract Type: Firm Fixed Price (FFP) Award Date

The Literacy Requirements of an Industrial Maintenance Mechanic on the Job and in a Vocational Training Program.

ERIC Educational Resources Information Center

Moe, Alden J.; And Others

As part of a project that identified the specific literacy skills required in ten occupations, this report provides two levels of instructional information about industrial maintenance mechanics. Factual data are presented in Parts I and II for use in decision making by program developers, administrators, teachers, and counselors. These sections…

Logistics Management: Cases Studies,

DTIC Science & Technology

LOGISTICS , * MANAGEMENT PLANNING AND CONTROL), DECISION MAKING, INVENTORY CONTROL, SPARE PARTS, AIR FORCE EQUIPMENT, NAVAL AIRCRAFT, MAINTENANCE, DEPLOYMENT, SCHEDULING, SYSTEMS ENGINEERING, TEXTBOOKS

End of Asset Life Reinvestment Decision Support Tool (INFR2R11AT)

EPA Science Inventory

This “End of Asset Life” Reinvestment Decision-Support Tool is intended as a step by step guide for the asset management practitioner who faces the challenge of developing an investment strategy that represents the best integration of maintenance, operations, and capital investme...

Data-Driven Decision Making in Practice: The NCAA Injury Surveillance System

ERIC Educational Resources Information Center

Klossner, David; Corlette, Jill; Agel, Julie; Marshall, Stephen W.

2009-01-01

Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting…

Improving Information Products for System 2 Decision Support

ERIC Educational Resources Information Center

Gibson, Neal

2010-01-01

The creation, maintenance, and management of Information Product (IP) systems that are used by organizations for complex decisions represent a unique set of challenges. These challenges are compounded when the purpose of such a systems is also for knowledge creation and dissemination. Information quality research to date has focused mainly upon…

Using Implementation and Dissemination Concepts to Spread 21st-century Well-Child Care at a Health Maintenance Organization

PubMed Central

Beck, Arne; Bergman, David A; Rahm, Alanna K; Dearing, James W; Glasgow, Russell E

2009-01-01

We describe here the use of a conceptual framework for implementing and disseminating in a Health Maintenance Organization an evidence-based model of well-child care (WCC) that includes developmental and preventive services recommended by the American Academy of Pediatrics. Twenty-first Century WCC is a parent-centered, team-based, primary care model that combines online previsit assessments—completed by parents and caregivers regarding clinic-based weight, growth, and development assessments—with vaccinations and anticipatory guidance. Nurses, nurse practitioners, developmental specialists, and pediatricians all play roles in the WCC model. Patient and clinician interaction, health records, and resources are all facilitated through a Web-based diagnostic, management, tracking, and resource information tool. Implementation and dissemination concepts and their attendant practices and tools can reliably be used to augment strategic decisions about how to best disseminate and implement innovations in health care delivery. Unlike innovations that are embedded only in technical systems, validated models of team-based health care have multiple components that must be made compatible with complex sociotechnical systems. Interpersonal communication, work, coordination, and judgment are key processes that affect implementation quality. Implementation can involve tailoring to a particular site and customizing either the model or the organizational context to accommodate it. PMID:20740083

Group Decision Support System to Aid the Process of Design and Maintenance of Large Scale Systems

DTIC Science & Technology

1992-03-23

from a fuzzy set of user requirements. The overall objective of the project is to develop a system combining the characteristics of a compact computer... AHP ) for hierarchical prioritization. 4) Individual Evaluation and Selection of Alternatives - Allows the decision maker to individually evaluate...its concept of outranking relations. The AHP method supports complex decision problems by successively decomposing and synthesizing various elements

Beyond reliability to profitability

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bond, T.H.; Mitchell, J.S.

1996-07-01

Reliability concerns have controlled much of power generation design and operations. Emerging from a strictly regulated environment, profitability is becoming a much more important concept for today`s power generation executives. This paper discusses the conceptual advance-view power plant maintenance as a profit center, go beyond reliability, and embrace profitability. Profit Centered Maintenance begins with the premise that financial considerations, namely profitability, drive most aspects of modern process and manufacturing operations. Profit Centered Maintenance is a continuous process of reliability and administrative improvement and optimization. For the power generation executives with troublesome maintenance programs, Profit Centered Maintenance can be the blueprintmore » to increased profitability. It requires the culture change to make decisions based on value, to reengineer the administration of maintenance, and to enable the people performing and administering maintenance to make the most of available maintenance information technology. The key steps are to optimize the physical function of maintenance and to resolve recurring maintenance problems so that the need for maintenance can be reduced. Profit Centered Maintenance is more than just an attitude it is a path to profitability, be it resulting in increased profits or increased market share.« less

Treatment of moderate rheumatoid arthritis with different strategies in a health resource-limited setting: a cost-effectiveness analysis in the era of biosimilars.

PubMed

Wu, Bin; Song, Yang; Leng, Lin; Bucala, Richard; Lu, Liang-jing

2015-01-01

This paper aims to explore the cost-effectiveness of reduced doses or discontinuation of etanercept biosimilar (Yisaipu) in patients with moderately active rheumatoid arthritis (RA). A discrete event simulation model was developed to project lifetime medical costs and quality-adjusted life-years (QALYs) in moderately active RA. Strategies starting with Yisaipu 50 mg/week for nine months following Yisaipu 50 mg/week, 25 mg/week or MTX maintenance were compared. Resource consumptions related to RA were estimated from the perspective of the Chinese health care system. An endpoint of the American College of Rheumatology (ACR) response was used to estimate the utility scores. Uncertainty in model parameters was analysed by sensitivity analyses. When using ACR as an endpoint for determining successful treatment, strategies starting with Yisaipu 50 mg/week for nine months following Yisaipu 50 mg/week or 25 mg/week maintenance showed the greatest number of QALYs gained (nearly 11.9 and 11.3 with or without rituximab after the failure of Yisaipu, respectively). If decision makers use a threshold of 3×the per capita GDP of China or Shanghai City in 2012, then the strategies most likely to be cost-effective are initial treatment with Yisaipu 50 mg/week for nine months following MTX maintenance and Yisaipu 25 mg/week maintenance, respectively. Results were sensitive to the cost of Yisaipu. The analysis indicates that, in China, replacing branded etanercept with Yisaipu is likely to be a cost-effective strategy in patients with moderately active RA.

Optimization methods for gas liquefaction production in Algeria and for a firewater safety system for the Holy Area of Mina, in Saudi Arabia

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chergui, B.

1986-01-01

The major part of this study deals specifically with problems encountered in liquefied-gas production in Algeria. However, its developed methodology could be applied to other industrial units of similar importance (petrochemical, pipeline, etc.). Capital costs as well as manpower, operations, and maintenance costs are very high in such production, especially in Algeria, a foreign-technology dependent country. Moreover, the technical complexity of an LNG plan constitutes a further incentive for the formulation of mathematical models as tools toward attaining management efficiency. These models can form the basis for Decision Support Systems for use as well in improving the operations of anymore » major national industrial plant. The remainder of the dissertation consists of a conception and a study for an optimal firewater safety system for the Holy Area of Mina, in Saudi Arabia, where fire outbreaks cause significant losses in lives and property damages during the yearly pilgrimage. Part of the contribution of this study lies in the guidelines established for a Decision Support System, which will improve the user's effectiveness as a decision maker.« less

Patch models and their applications to multivehicle command and control.

PubMed

Rao, Venkatesh G; D'Andrea, Raffaello

2007-06-01

We introduce patch models, a computational modeling formalism for multivehicle combat domains, based on spatiotemporal abstraction methods developed in the computer science community. The framework yields models that are expressive enough to accommodate nontrivial controlled vehicle dynamics while being within the representational capabilities of common artificial intelligence techniques used in the construction of autonomous systems. The framework allows several key design requirements of next-generation network-centric command and control systems, such as maintenance of shared situation awareness, to be achieved. Major features include support for multiple situation models at each decision node and rapid mission plan adaptation. We describe the formal specification of patch models and our prototype implementation, i.e., Patchworks. The capabilities of patch models are validated through a combat mission simulation in Patchworks, which involves two defending teams protecting a camp from an enemy attacking team.

Working memory retrieval as a decision process

PubMed Central

Pearson, Benjamin; Raškevičius, Julius; Bays, Paul M.; Pertzov, Yoni; Husain, Masud

2014-01-01

Working memory (WM) is a core cognitive process fundamental to human behavior, yet the mechanisms underlying it remain highly controversial. Here we provide a new framework for understanding retrieval of information from WM, conceptualizing it as a decision based on the quality of internal evidence. Recent findings have demonstrated that precision of WM decreases with memory load. If WM retrieval uses a decision process that depends on memory quality, systematic changes in response time distribution should occur as a function of WM precision. We asked participants to view sample arrays and, after a delay, report the direction of change in location or orientation of a probe. As WM precision deteriorated with increasing memory load, retrieval time increased systematically. Crucially, the shape of reaction time distributions was consistent with a linear accumulator decision process. Varying either task relevance of items or maintenance duration influenced memory precision, with corresponding shifts in retrieval time. These results provide strong support for a decision-making account of WM retrieval based on noisy storage of items. Furthermore, they show that encoding, maintenance, and retrieval in WM need not be considered as separate processes, but may instead be conceptually unified as operations on the same noise-limited, neural representation. PMID:24492597

Working memory retrieval as a decision process.

PubMed

Pearson, Benjamin; Raskevicius, Julius; Bays, Paul M; Pertzov, Yoni; Husain, Masud

2014-02-03

Working memory (WM) is a core cognitive process fundamental to human behavior, yet the mechanisms underlying it remain highly controversial. Here we provide a new framework for understanding retrieval of information from WM, conceptualizing it as a decision based on the quality of internal evidence. Recent findings have demonstrated that precision of WM decreases with memory load. If WM retrieval uses a decision process that depends on memory quality, systematic changes in response time distribution should occur as a function of WM precision. We asked participants to view sample arrays and, after a delay, report the direction of change in location or orientation of a probe. As WM precision deteriorated with increasing memory load, retrieval time increased systematically. Crucially, the shape of reaction time distributions was consistent with a linear accumulator decision process. Varying either task relevance of items or maintenance duration influenced memory precision, with corresponding shifts in retrieval time. These results provide strong support for a decision-making account of WM retrieval based on noisy storage of items. Furthermore, they show that encoding, maintenance, and retrieval in WM need not be considered as separate processes, but may instead be conceptually unified as operations on the same noise-limited, neural representation.

A failure of conflict to modulate dual-stream processing may underlie the formation and maintenance of delusions.

PubMed

Speechley, W J; Murray, C B; McKay, R M; Munz, M T; Ngan, E T C

2010-03-01

Dual-stream information processing proposes that reasoning is composed of two interacting processes: a fast, intuitive system (Stream 1) and a slower, more logical process (Stream 2). In non-patient controls, divergence of these streams may result in the experience of conflict, modulating decision-making towards Stream 2, and initiating a more thorough examination of the available evidence. In delusional schizophrenia patients, a failure of conflict to modulate decision-making towards Stream 2 may reduce the influence of contradictory evidence, resulting in a failure to correct erroneous beliefs. Delusional schizophrenia patients and non-patient controls completed a deductive reasoning task requiring logical validity judgments of two-part conditional statements. Half of the statements were characterized by a conflict between logical validity (Stream 2) and content believability (Stream 1). Patients were significantly worse than controls in determining the logical validity of both conflict and non-conflict conditional statements. This between groups difference was significantly greater for the conflict condition. The results are consistent with the hypothesis that delusional schizophrenia patients fail to use conflict to modulate towards Stream 2 when the two streams of reasoning arrive at incompatible judgments. This finding provides encouraging preliminary support for the Dual-Stream Modulation Failure model of delusion formation and maintenance. 2009 Elsevier Masson SAS. All rights reserved.

Organizational Policy Decisions as a Function of Individual Differences and Task Design: Maintenance Tasks. Technical Report No. 10.

ERIC Educational Resources Information Center

O'Connor, Edward J.; And Others

Ninety subjects completed identical simulated maintenance tasks under two experimental conditions. In the high job structural attribute condition subjects were told that the task was high in learning new skills, responsibility, feedback, and task identity; while in the low job structural condition they were told the opposite. Results indicated the…

37 CFR 1.17 - Patent application and reexamination processing fees.

Code of Federal Regulations, 2011 CFR

2011-07-01

... decision on petition refusing to accept delayed payment of maintenance fee in an expired patent. § 1.741(b... and record payment of a maintenance fee filed prior to expiration of a patent. § 1.550(c)—for patent... application from issue. § 1.314—to defer issuance of a patent. (i) Processing fee for taking action under one...

A Change Management Approach to Enhance Facility Maintenance Programs

DTIC Science & Technology

2014-03-27

dependent on the particular research effort and the researcher’s experience. Large groups tend to increase the decision quality but can be difficult...consolidate SME opinions on facility maintenance criteria. The Delphi method utilizes numerous questionnaire rounds to capitalize on a group think...effort provides the discussion and conclusions, recommendations, and suggestions for follow on research . 9 II. Literature Review This

A Decision Tool to Evaluate Budgeting Methodologies for Estimating Facility Recapitalization Requirements

DTIC Science & Technology

2008-03-01

1 . Maintenance Practices Influence Service Life .......................................................... 11 2 . Expectations or Standards May...BRB, 1991, p. 1 - 2 ) Additionally, public sector organizations typically have a larger inventory of facilities to maintain, making asset management...questions were answered. 1 . What are the long term causes and effects of under-funding the maintenance of facilities? 2 . What methods currently

Mainstreaming Climate Change: Recent and Ongoing Efforts to Understand, Improve, and Expand Consideration of Climate Change in Federal Water Resources Planning

NASA Astrophysics Data System (ADS)

Ferguson, I. M.; McGuire, M.; Broman, D.; Gangopadhyay, S.

2017-12-01

The Bureau of Reclamation is a Federal agency tasked with developing and managing water supply and hydropower projects in the Western U.S. Climate and hydrologic variability and change significantly impact management actions and outcomes across Reclamation's programs and initiatives, including water resource planning and operations, infrastructure design and maintenance, hydropower generation, and ecosystem restoration, among others. Planning, design, and implementation of these programs therefore requires consideration of future climate and hydrologic conditions will impact program objectives. Over the past decade, Reclamation and other Federal agencies have adopted new guidelines, directives, and mandates that require consideration of climate change in water resources planning and decision making. Meanwhile, the scientific community has developed a large number of climate projections, along with an array of models, methods, and tools to facilitate consideration of climate projections in planning and decision making. However, water resources engineers, planners, and decision makers continue to face challenges regarding how best to use the available data and tools to support major decisions, including decisions regarding infrastructure investments and long-term operating criteria. This presentation will discuss recent and ongoing research towards understanding, improving, and expanding consideration of climate projections and related uncertainties in Federal water resources planning and decision making. These research efforts address a variety of challenges, including: How to choose between available climate projection datasets and related methods, models, and tools—many of which are considered experimental or research tools? How to select an appropriate decision framework when design or operating alternatives may differ between climate scenarios? How to effectively communicate results of a climate impacts analysis to decision makers? And, how to improve robustness and resilience of water resources systems in the face of significant uncertainty? Discussion will focus on the intersection between technical challenges and decision making paradigms and the need for improved scientist-decision maker engagement through the lens of this Federal water management agency.

Improving Site-Specific Radiological Performance Assessments - 13431

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tauxe, John; Black, Paul; Catlett, Kate

2013-07-01

An improved approach is presented for conducting complete and defensible radiological site-specific performance assessments (PAs) to support radioactive waste disposal decisions. The basic tenets of PA were initiated some thirty years ago, focusing on geologic disposals and evaluating compliance with regulations. Some of these regulations were inherently probabilistic (i.e., addressing uncertainty in a quantitative fashion), such as the containment requirements of the U.S. Environmental Protection Agency's (EPA's) 40 CFR 191, Environmental Radiation Protection Standards for Management and Disposal of Spent Nuclear Fuel, High-Level and Transuranic Radioactive Wastes, Chap. 191.13 [1]. Methods of analysis were developed to meet those requirements, butmore » at their core early PAs used 'conservative' parameter values and modeling approaches. This limited the utility of such PAs to compliance evaluation, and did little to inform decisions about optimizing disposal, closure and long-term monitoring and maintenance, or, in general, maintaining doses 'as low as reasonably achievable' (ALARA). This basic approach to PA development in the United States was employed essentially unchanged through the end of the 20. century, principally by the U.S. Department of Energy (DOE). Performance assessments developed in support of private radioactive waste disposal operations, regulated by the U.S. Nuclear Regulatory Commission (NRC) and its agreement states, were typically not as sophisticated. Discussion of new approaches to PA is timely, since at the time of this writing, the DOE is in the midst of revising its Order 435.1, Radioactive Waste Management [2], and the NRC is revising 10 CFR 61, Licensing Requirements for Land Disposal of Radioactive Waste [3]. Over the previous decade, theoretical developments and improved computational technology have provided the foundation for integrating decision analysis (DA) concepts and objective-focused thinking, plus a Bayesian approach to probabilistic modeling and risk analysis, to guide improvements in PA. This decision-making approach, [4, 5, 6] provides a transparent formal framework for using a value- or objective-focused approach to decision-making. DA, as an analytical means to implement structured decision making, provides a context for both understanding how uncertainty affects decisions and for targeting uncertainty reduction. The proposed DA approach improves defensibility and transparency of decision-making. The DA approach is fully consistent with the need to perform realistic modeling (rather than conservative modeling), including evaluation of site-specific factors. Instead of using generic stylized scenarios for radionuclide fate and transport and for human exposures to radionuclides, site-specific scenarios better represent the advantages and disadvantages of alternative disposal sites or engineered designs, thus clarifying their differences as well as providing a sound basis for evaluation of site performance. The full DA approach to PA is described, from explicitly incorporating societal values through stakeholder involvement to model building. Model building involves scoping by considering features, events, processes, and exposure scenarios (FEPSs), development of a conceptual site model (CSM), translation into numerical models and subsequent computation, and model evaluation. These are implemented in a cycle of uncertainty analysis, sensitivity analysis and value of information analysis so that uncertainty can be reduced until sufficient confidence is gained in the decisions to be made. This includes the traditional focus on hydrogeological processes, but also places emphasis on other FEPSs such as biotically-induced transport and human exposure phenomena. The significance of human exposure scenarios is emphasized by modifying the traditional acronym 'FEPs' to include them, hence 'FEPSs'. The radioactive waste community is also recognizing that disposal sites are to be considered a national (or even global) resource. As such, there is a pressing need to optimize their utility within the constraints of protecting human health and the environment. Failing to do so will result in the need for additional sites or options for storing radioactive waste temporarily, assuming a continued need for radioactive waste disposal. Optimization should be performed using DA, including economic analysis, invoked if necessary through the ALARA process. The economic analysis must recognize the cost of implementation (disposal design, closure, maintenance, etc.), and intra- and inter-generational equity in order to ensure that the best possible radioactive waste management decisions are made for the protection of both current and future generations. In most cases this requires consideration of population or collective risk. (authors)« less

Biased and less sensitive: A gamified approach to delay discounting in heroin addiction.

PubMed

Scherbaum, Stefan; Haber, Paul; Morley, Kirsten; Underhill, Dylan; Moustafa, Ahmed A

2018-03-01

People with addiction will continue to use drugs despite adverse long-term consequences. We hypothesized (a) that this deficit persists during substitution treatment, and (b) that this deficit might be related not only to a desire for immediate gratification, but also to a lower sensitivity for optimal decision making. We investigated how individuals with a history of heroin addiction perform (compared to healthy controls) in a virtual reality delay discounting task. This novel task adds to established measures of delay discounting an assessment of the optimality of decisions, especially in how far decisions are influenced by a general choice bias and/or a reduced sensitivity to the relative value of the two alternative rewards. We used this measure of optimality to apply diffusion model analysis to the behavioral data to analyze the interaction between decision optimality and reaction time. The addiction group consisted of 25 patients with a history of heroin dependency currently participating in a methadone maintenance program; the control group consisted of 25 healthy participants with no history of substance abuse, who were recruited from the Western Sydney community. The patient group demonstrated greater levels of delay discounting compared to the control group, which is broadly in line with previous observations. Diffusion model analysis yielded a reduced sensitivity for the optimality of a decision in the patient group compared to the control group. This reduced sensitivity was reflected in lower rates of information accumulation and higher decision criteria. Increased discounting in individuals with heroin addiction is related not only to a generally increased bias to immediate gratification, but also to reduced sensitivity for the optimality of a decision. This finding is in line with other findings about the sensitivity of addicts in distinguishing optimal from nonoptimal choice options.

Evaluating an insurance-sponsored weight management program with the RE-AIM Model, West Virginia, 2004-2008.

PubMed

Abildso, Christiaan G; Zizzi, Sam J; Reger-Nash, Bill

2010-05-01

Evaluations of weight management programs in real-world settings are lacking. The RE-AIM model (reach, effectiveness, adoption, implementation, maintenance) was developed to address this deficiency. Our primary objective was to evaluate a 12-week insurance-sponsored weight management intervention by using the RE-AIM model, including short-term and long-term individual outcomes and setting-level implementation factors. Our secondary objective was to critique the RE-AIM model and its revised calculation methods. We created operational definitions for components of the 5 RE-AIM indices and used standardized effect size values from various statistical procedures to measure multiple components or outcomes within each index. We used chi(2) analysis to compare categorical variables and repeated-measures analysis of variance to assess the magnitude of outcome changes over time. On the basis of data for 1,952 participants and surveys completed by administrators at 23 sites, RE-AIM indices ranging from 0 to 100 revealed low program reach and adoption (5.4 and 8.8, respectively), moderate effectiveness (43.8), high implementation (91.4), low to moderate individual maintenance (21.2), and moderate to high site maintenance (77.8). Median (interquartile range) weight loss was 13 lb (6.5-21.4 lb) among participants who completed phase I (12 weeks; 76.5%) and 15 lb (6.1-30.3 lb) among those who completed phase II (1 year; 45.7%). This program had a significant, positive effect on participants and has been sustainable but needs to be expanded for more public health benefit. The RE-AIM model provided a useful framework to determine program strengths and weaknesses and to present them to the insurance agency and public health decision makers.

Evolution of US DOE Performance Assessments Over 20 Years - 13597

DOE Office of Scientific and Technical Information (OSTI.GOV)

Suttora, Linda C.; Seitz, Roger R.

2013-07-01

Performance assessments (PAs) have been used for many years for the analysis of post-closure hazards associated with a radioactive waste disposal facility and to provide a reasonable expectation of the ability of the site and facility design to meet objectives for the protection of members of the public and the environment. The use of PA to support decision-making for LLW disposal facilities has been mandated in United States Department of Energy (US DOE) directives governing radioactive waste management since 1988 (currently DOE Order 435.1, Radioactive Waste Management). Prior to that time, PAs were also used in a less formal role.more » Over the past 20+ years, the US DOE approach to conduct, review and apply PAs has evolved into an efficient, rigorous and mature process that includes specific requirements for continuous improvement and independent reviews. The PA process has evolved through refinement of a graded and iterative approach designed to help focus efforts on those aspects of the problem expected to have the greatest influence on the decision being made. Many of the evolutionary changes to the PA process are linked to the refinement of the PA maintenance concept that has proven to be an important element of US DOE PA requirements in the context of supporting decision-making for safe disposal of LLW. The PA maintenance concept is central to the evolution of the graded and iterative philosophy and has helped to drive the evolution of PAs from a deterministic compliance calculation into a systematic approach that helps to focus on critical aspects of the disposal system in a manner designed to provide a more informed basis for decision-making throughout the life of a disposal facility (e.g., monitoring, research and testing, waste acceptance criteria, design improvements, data collection, model refinements). A significant evolution in PA modeling has been associated with improved use of uncertainty and sensitivity analysis techniques to support efficient implementation of the graded and iterative approach. Rather than attempt to exactly predict the migration of radionuclides in a disposal unit, the best PAs have evolved into tools that provide a range of results to guide decision-makers in planning the most efficient, cost effective, and safe disposal of radionuclides. (authors)« less

76 FR 53422 - Notice of Availability of the Record of Decision on the Final Programmatic Environmental Impact...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-26

... DEPARTMENT OF DEFENSE Department of the Army; Corps of Engineers Notice of Availability of the Record of Decision on the Final Programmatic Environmental Impact Statement for the Mechanical and... (PEIS) for the Mechanical and Artificial Creation and Maintenance of Emergent Sandbar Habitat (ESH) on...

32 CFR Appendix E to Part 806b - Privacy Impact Assessment

Code of Federal Regulations, 2010 CFR

2010-07-01

... in order to assure fairness to the individual in making decisions based on the data. Maintenance of.... The process consists of privacy training, gathering data from a project on privacy issues, and... analyzed and decisions are being made about data usage and system design. This applies to all of the...

Solid waste projection model: Model version 1. 0 technical reference manual

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wilkins, M.L.; Crow, V.L.; Buska, D.E.

1990-11-01

The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software utilized in developing Version 1.0 of the modeling unit of SWPM. This document is intended for use by experienced software engineers and supports programming, code maintenance, and model enhancement. Those interested in using SWPM should refer to the SWPM Modelmore » User's Guide. This document is available from either the PNL project manager (D. L. Stiles, 509-376-4154) or the WHC program monitor (B. C. Anderson, 509-373-2796). 8 figs.« less

Modeling the impact of thermal effects on luminous flux maintenance for SSL luminaires

DOE Office of Scientific and Technical Information (OSTI.GOV)

Davis, Lynn; Mills, Karmann; Lamvik, Michael

Meeting the longevity requirements of solid-state lighting (SSL) devices places extreme demands on the materials and designs that are used in SSL luminaires. Therefore, understanding the aging characteristics of lens, reflectors, and other materials is essential to projecting the long-term performance of LED-based lighting systems. Overlooking these factors at either the design or product specification stage can result in premature failure of the device due to poor luminous flux maintenance and/or excessive chromaticity shifts. This paper describes a methodology for performing accelerated stress testing (AST) on materials intended for use in SSL luminaires. This test methodology, which consists of elevatedmore » temperature and humidity conditions, produces accelerated aging data that can be correlated to expected performance under normal luminaire operating conditions. The correlations can then be leveraged to produce models of the changes in the optical properties of key materials including transmittance versus wavelength of lenses and reflectance versus wavelength for housings and other reflectors. This information has been collected into a lumen maintenance decision support tool (LM-DST) and together with user supplied inputs (e.g., expected operation conditions) can provide guidance on lifetime expectations of SSL luminaires. This approach has been applied to a variety of materials commonly found in SSL luminaires including acrylics, polycarbonates, and silicones used for lenses and paints, coatings, films, and composites used for reflectors.« less

The design of aircraft using the decision support problem technique

NASA Technical Reports Server (NTRS)

Mistree, Farrokh; Marinopoulos, Stergios; Jackson, David M.; Shupe, Jon A.

1988-01-01

The Decision Support Problem Technique for unified design, manufacturing and maintenance is being developed at the Systems Design Laboratory at the University of Houston. This involves the development of a domain-independent method (and the associated software) that can be used to process domain-dependent information and thereby provide support for human judgment. In a computer assisted environment, this support is provided in the form of optimal solutions to Decision Support Problems.

An intelligent tele-healthcare environment offering person-centric and wellness-maintenance services.

PubMed

Abidi, S S

2001-06-01

Worldwide healthcare delivery trends are undergoing a subtle paradigm shift--patient centered services as opposed to provider centered services and wellness maintenance as opposed to illness management. In this paper we present a Tele-Healthcare project TIDE--Tele-Healthcare Information and Diagnostic Environment. TIDE manifests an 'intelligent' healthcare environment that aims to ensure lifelong coverage of person-specific health maintenance decision-support services--i.e., both wellness maintenance and illness management services--ubiquitously available via the Internet/WWW. Taking on an all-encompassing health maintenance role--spanning from wellness to illness issues--the functionality of TIDE involves the generation and delivery of (a) Personalized, Pro-active, Persistent, Perpetual, and Present wellness maintenance services, and (b) remote diagnostic services for managing noncritical illnesses. Technically, TIDE is an amalgamation of diverse computer technologies--Artificial Intelligence, Internet, Multimedia, Databases, and Medical Informatics--to implement a sophisticated healthcare delivery infostructure.

A General Water Resources Regulation Software System in China

NASA Astrophysics Data System (ADS)

LEI, X.

2017-12-01

To avoid iterative development of core modules in water resource normal regulation and emergency regulation and improve the capability of maintenance and optimization upgrading of regulation models and business logics, a general water resources regulation software framework was developed based on the collection and analysis of common demands for water resources regulation and emergency management. It can provide a customizable, secondary developed and extensible software framework for the three-level platform "MWR-Basin-Province". Meanwhile, this general software system can realize business collaboration and information sharing of water resources regulation schemes among the three-level platforms, so as to improve the decision-making ability of national water resources regulation. There are four main modules involved in the general software system: 1) A complete set of general water resources regulation modules allows secondary developer to custom-develop water resources regulation decision-making systems; 2) A complete set of model base and model computing software released in the form of Cloud services; 3) A complete set of tools to build the concept map and model system of basin water resources regulation, as well as a model management system to calibrate and configure model parameters; 4) A database which satisfies business functions and functional requirements of general water resources regulation software can finally provide technical support for building basin or regional water resources regulation models.

Models of evaluation of public joint-stock property management

NASA Astrophysics Data System (ADS)

Yakupova, N. M.; Levachkova, S.; Absalyamova, S. G.; Kvon, G.

2017-12-01

The paper deals with the models of evaluation of performance of both the management company and the individual subsidiaries on the basis of a combination of elements and multi-parameter and target approaches. The article shows that due to the power of multi-dimensional and multi-directional indicators of financial and economic activity it is necessary to assess the degree of achievement of the objectives with the use of multivariate ordinal model as a set of indicators, ordered by growth so that the maintenance of this order on a long interval of time will ensure the effective functioning of the enterprise in the long term. It is shown that these models can be regarded as the monitoring tools of implementation of strategies and guide the justification effectiveness of implementation of management decisions.

Buspirone Reduces Sexual Risk-Taking Intent but not Cocaine Self-Administration

PubMed Central

Bolin, B. Levi; Lile, Joshua A.; Marks, Katherine R.; Beckmann, Joshua S.; Rush, Craig R.; Stoops, William W.

2016-01-01

Impulsive sexual decision-making may underlie sexual risk-taking behavior that contributes to the disproportionately high prevalence of HIV infection among cocaine users. Delay-discounting procedures measure impulsive decision-making and may provide insight into the underlying mechanisms of sexual risk-taking behavior. The anxiolytic drug buspirone reduces delay discounting in rats and blunts the reinforcing effects of cocaine in some preclinical studies suggesting that it might have utility in the treatment of cocaine-use disorders. This study determined whether buspirone mitigates impulsive risky sexual decision-making in cocaine users on a sexual delay-discounting procedure. The effects of buspirone maintenance on the abuse-related and physiological effects of cocaine were also tested. Nine (N = 9) current cocaine users completed a repeated-measures, inpatient protocol in which sexual delay discounting was assessed following three days of maintenance on placebo and buspirone (30 mg/day) in counterbalanced order. The reinforcing, subject-rated, and physiological effects of placebo and intranasal cocaine (15 and 45 mg) were also assessed during buspirone and placebo maintenance. Buspirone increased the likelihood of condom use for hypothetical sexual partners that were categorized as most likely to have a sexually transmitted infection and least sexually desirable. Cocaine functioned as a reinforcer and increased positive subjective effects ratings, but buspirone maintenance did not impact these effects of cocaine. Buspirone was also safe and tolerable when combined with cocaine and may have blunted some its cardiovascular effects. The results from the sexual delay-discounting procedure indicate that buspirone may reduce preference for riskier sex in cocaine users. PMID:27254258

Evaluation of dose reduction versus standard dosing for maintenance of remission in patients with spondyloarthritis and clinical remission with anti-TNF (REDES-TNF): study protocol for a randomized controlled trial.

PubMed

Pontes, Caridad; Gratacós, Jordi; Torres, Ferran; Avendaño, Cristina; Sanz, Jesús; Vallano, Antoni; Juanola, Xavier; de Miguel, Eugenio; Sanmartí, Raimon; Calvo, Gonzalo

2015-08-20

Dose reduction schedules of tumor necrosis factor antagonists (anti-TNF) as maintenance therapy in patients with spondyloarthritis are used empirically in clinical practice, despite the lack of clinical trials providing evidence for this practice. To address this issue the Spanish Society of Rheumatology (SER) and Spanish Society of Clinical Pharmacology (SEFC) designed a 3-year multicenter, randomized, open-label, controlled clinical trial (2 years for inclusion and 1 year of follow-up). The study is expected to include 190 patients with axial spondyloarthritis on stable maintenance treatment (≥4 months) with any anti-TNF agent at doses recommended in the summary of product characteristics. Patients will be randomized to either a dose reduction arm or maintenance of the dosing regimen as per the official labelling recommendations. Randomization will be stratified according to the anti-TNF agent received before study inclusion. Patient follow-up, visit schedule, and examinations will be maintained as per normal clinical practice recommendations according to SER guidelines. The study aims to test the hypothesis of noninferiority of the dose reduction strategy compared with standard treatment. The first patients were recruited in July 2012, and study completion is scheduled for the end of April 2015. The REDES-TNF study is a pragmatic clinical trial that aims to provide evidence to support a medical decision now made empirically. The study results may help inform clinical decisions relevant to both patients and healthcare decision makers. EudraCT 2011-005871-18 (21 December 2011).

User Delay Cost Model and Facilities Maintenance Cost Model for a Terminal Control Area : Volume 3. User's Manual and Program Documentation for the Facilities Maintenance Cost Model

DOT National Transportation Integrated Search

1978-05-01

The Facilities Maintenance Cost Model (FMCM) is an analytic model designed to calculate expected annual labor costs of maintenance within a given FAA maintenance sector. The model is programmed in FORTRAN IV and has been demonstrated on the CDC Krono...

Making lineage decisions with biological noise: Lessons from the early mouse embryo.

PubMed

Simon, Claire S; Hadjantonakis, Anna-Katerina; Schröter, Christian

2018-04-30

Understanding how individual cells make fate decisions that lead to the faithful formation and homeostatic maintenance of tissues is a fundamental goal of contemporary developmental and stem cell biology. Seemingly uniform populations of stem cells and multipotent progenitors display a surprising degree of heterogeneity, primarily originating from the inherent stochastic nature of molecular processes underlying gene expression. Despite this heterogeneity, lineage decisions result in tissues of a defined size and with consistent proportions of differentiated cell types. Using the early mouse embryo as a model we review recent developments that have allowed the quantification of molecular intercellular heterogeneity during cell differentiation. We first discuss the relationship between these heterogeneities and developmental cellular potential. We then review recent theoretical approaches that formalize the mechanisms underlying fate decisions in the inner cell mass of the blastocyst stage embryo. These models build on our extensive knowledge of the genetic control of fate decisions in this system and will become essential tools for a rigorous understanding of the connection between noisy molecular processes and reproducible outcomes at the multicellular level. We conclude by suggesting that cell-to-cell communication provides a mechanism to exploit and buffer intercellular variability in a self-organized process that culminates in the reproducible formation of the mature mammalian blastocyst stage embryo that is ready for implantation into the maternal uterus. This article is categorized under: Gene Expression and Transcriptional Hierarchies > Cellular Differentiation Establishment of Spatial and Temporal Patterns > Regulation of Size, Proportion, and Timing Gene Expression and Transcriptional Hierarchies > Gene Networks and Genomics Gene Expression and Transcriptional Hierarchies > Quantitative Methods and Models. © 2018 Wiley Periodicals, Inc.

(n, N) type maintenance policy for multi-component systems with failure interactions

NASA Astrophysics Data System (ADS)

Zhang, Zhuoqi; Wu, Su; Li, Binfeng; Lee, Seungchul

2015-04-01

This paper studies maintenance policies for multi-component systems in which failure interactions and opportunistic maintenance (OM) involve. This maintenance problem can be formulated as a Markov decision process (MDP). However, since an action set and state space in MDP exponentially expand as the number of components increase, traditional approaches are computationally intractable. To deal with curse of dimensionality, we decompose such a multi-component system into mutually influential single-component systems. Each single-component system is formulated as an MDP with the objective of minimising its long-run average maintenance cost. Under some reasonable assumptions, we prove the existence of the optimal (n, N) type policy for a single-component system. An algorithm to obtain the optimal (n, N) type policy is also proposed. Based on the proposed algorithm, we develop an iterative approximation algorithm to obtain an acceptable maintenance policy for a multi-component system. Numerical examples find that failure interactions and OM pose significant effects on a maintenance policy.

Multiattribute evaluation in formulary decision making as applied to calcium-channel blockers.

PubMed

Schumacher, G E

1991-02-01

The use of multiattribute utility theory (MAUT) to make a formulary decision involving calcium-channel blockers (CCBs) is described. The MAUT method is a procedure for identifying, characterizing, and comparing the many variables that may affect a decision. Although applications in pharmacy have been infrequent, MAUT should be particularly appealing to formulary committees. The steps of the MAUT method are (1) determine the viewpoint of the decision makers, (2) identify the decision alternatives, (3) identify the attributes to be evaluated, (4) identify the factors to be used in evaluating the attributes, (5) establish a utility scale for scoring each factor, (6) transform the values for each factor to its utility scale, (7) determine weights for each attribute and factor, (8) calculate the total utility score for each decision alternative, (9) determine which decision alternative has the greatest total score, and (10) perform a sensitivity analysis. The viewpoint of a formulary committee in a health maintenance organization was simulated to develop a model for using the MAUT method to compare CCBs for single-agent therapy of chronic stable angina in ambulatory patients for one year. The attributes chosen were effectiveness, safety, patient acceptance, and cost and weighted 36%, 29%, 21%, and 14%, respectively, as contributions to the evaluation. The rank order of the decision alternatives was (1) generic verapamil, (2) brand-name verapamil, (3) diltiazem, (4) nicardipine, and (5) nifedipine. The MAUT method provides a standardized yet flexible format for comparing and selecting among formulary alternatives.

37 CFR 1.17 - Patent application and reexamination processing fees.

Code of Federal Regulations, 2012 CFR

2012-07-01

... maintenance fee in an expired patent. § 1.741(b)—to accord a filing date to an application under § 1.740 for...—for review of decision refusing to accept and record payment of a maintenance fee filed prior to... publication. § 1.313—to withdraw an application from issue. § 1.314—to defer issuance of a patent. (i...

Technology management: case study of an integrated health system.

PubMed

Dahl, D H; McFarlan, T K

1994-12-01

Technology management has assumed a role of vital importance in today's health care environment. Capital reserves and operating income have been stretched by pervasive and expensive technologies, while overall reimbursement has been reduced. It is imperative for hospitals to develop and consistently use technology management processes that begin prior to a technology's introduction in the hospital and continue throughout its life cycle. At Samaritan Health System (SHS), an integrated health care delivery system based in Phoenix, technology management provides tools to improve decision making and assist in the system's integration strategy as well as control expenses. SHS uses a systemwide technology-specific plan to guide acquisition and/or funding decisions. This plan describes how particular technologies can help achieve SHS' organizational goals such as promoting system integration and/or improving patient outcomes while providing good economic value. After technologies are targeted in this systemwide plan they are prioritized using a two-stage capital prioritization process. The first stage of the capital prioritization process considers the quantitative and qualitative factors critical for equitable capital distribution across the system. The second stage develops a sense of ownership among the parties that affect and are affected by the allocation at a facility level. This process promotes an efficient, effective, equitable, and defensible approach to resource allocation and technology decision making. Minimizing equipment maintenance expenditures is also an integral part of technology management at SHS. The keys to reducing maintenance expenditures are having a process in place that supports a routine fiscal evaluation of maintenance coverage options and ensuring that manufacturers are obligated to provide critical maintenance resources at the time of equipment purchase. Maintenance service options under consideration in this report include full-service contracts with the manufacturer, insurance coverage, time and materials, and independent service vendors/in-house support. Careful consideration of all the ramifications of each option is warranted because there are substantial cost differences among these methods. At SHS, technology management efforts resulted in equipment purchases and maintenance negotiations representing savings of more than $1.5 million in a single year. SHS undertakes an intensive review of purchases and maintenance expenditures, using the techniques described in this report, with the objective of reducing expenses by 10% per year. This report describes the technology management methods that SHS uses to achieve these results.

Passenger comfort technology for system decision making

NASA Technical Reports Server (NTRS)

Conner, D. W.

1980-01-01

Decisions requiring passenger comfort technology were shown to depend on: the relationship between comfort and other factors (e.g., cost, urgency, alternate modes) in traveler acceptance of the systems, serving a selected market require technology to quantify effects of comfort versus offsetting factors in system acceptance. Public predict the maximum percentage of travelers who willingly accept the overall comfort of any trip ride. One or the other of these technology requirements apply to decisions on system design, operation and maintenance.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Clark, Terry

The biggest challenge affecting lighting decisions today is future-proofing. Choices made today will likely be choices that impact the next 20 or perhaps even 40 years. For example, we can expect the best LED lighting available today to maintain 90% of initial light output for 100,000 hours or more. Compare this to a fluorescent lighting system that needs regular maintenance after only 30,000 hours due to lamp burn-outs. The simple act of choosing a LED system over a fluorescent one alone can begin to reduce life cycle costs by saving future maintenance costs. However, the choice of LED over fluorescentmore » is just the beginning. Here, let’s look at other future-proofing decisions that should be considered when choosing your next lighting system.« less

37 CFR 1.377 - Review of decision refusing to accept and record payment of a maintenance fee filed prior to...

Code of Federal Regulations, 2010 CFR

2010-07-01

... agent registered to practice before the Patent and Trademark Office, or by the patentee, the assignee... 37 Patents, Trademarks, and Copyrights 1 2010-07-01 2010-07-01 false Review of decision refusing... 1.377 Patents, Trademarks, and Copyrights UNITED STATES PATENT AND TRADEMARK OFFICE, DEPARTMENT OF...

Adaptive Decision Aiding in Computer-Assisted Instruction: Adaptive Computerized Training System (ACTS).

ERIC Educational Resources Information Center

Hopf-Weichel, Rosemarie; And Others

This report describes results of the first year of a three-year program to develop and evaluate a new Adaptive Computerized Training System (ACTS) for electronics maintenance training. (ACTS incorporates an adaptive computer program that learns the student's diagnostic and decision value structure, compares it to that of an expert, and adapts the…

78 FR 33101 - Notice of Availability of the Record of Decision for the Alta East Wind Project, Kern County...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-03

... turbines, access roads, collector substation, operation and maintenance facility, temporary portable... wind turbines capable of generating up to 153 megawatts. The project site is within the planning....LVRWB11B4520.FX0000] Notice of Availability of the Record of Decision for the Alta East Wind Project, Kern...

Cost-effectiveness comparison of current proton-pump inhibitors to treat gastro-oesophageal reflux disease in the UK.

PubMed

Remák, E; Brown, R E; Yuen, C; Robinson, A

2005-10-01

Gastro-oesophageal reflux disease (GORD) is a recurring condition with many patients requiring long-term maintenance therapy. Therefore initial choice of treatment has long-term cost implications. The aim was to compare the costs and effectiveness of treatment of GORD the (unconfirmed by endoscopy) with seven proton pump inhibitors (PPIs: esomeprazole, lansoprazole (capsules and oro-dispersible tablets), omeprazole (generic and branded), pantoprazole and rabeprazole), over one year. A treatment model was developed of 13 interconnected Markov models incorporating acute treatment of symptoms, long-term therapy and subsequent decisions to undertake endoscopy to confirm diagnosis. Patients were allowed to stop treatment or to receive maintenance treatment either continuously or on-demand depending on response to therapy. Long-term dosing schedule (high dose or step-down dose) was based on current market data. Efficacy of treatments was based on clinical trials and follow-up studies, while resource use patterns were determined by a panel of physicians. The model predicts total expected annual costs, number of symptom-free days and quality-adjusted life-years (QALY). Generic omeprazole and rabeprazole dominated (i.e. cost less and resulted in more symptom-free days and higher QALY gains) the other PPIs. Rabeprazole had a favourable cost-effectiveness ratio of 3.42 pounds per symptom-free day and 8308 pounds/quality-adjusted life-year gained when compared with generic omeprazole. Rabeprazole remained cost-effective independent of choice of maintenance treatment (i.e. proportion of patients remaining on continuous treatment versus on-demand treatment). Economic models provide a useful framework to evaluate PPIs in realistic clinical scenarios. Our findings show that rabeprazole is cost-effective for the treatment of GORD.

Cost-effectiveness evaluation of clobetasol propionate shampoo (CPS) maintenance in patients with moderate scalp psoriasis: a Pan-European analysis.

PubMed

Papp, K; Poulin, Y; Barber, K; Lynde, C; Prinz, J C; Berg, M; Kerrouche, N; Rives, V P

2012-11-01

Scalp psoriasis is a difficult to treat and usually chronic manifestation of psoriasis. The CalePso study showed that CPS (Clobex(®) Shampoo) in maintenance therapy of scalp psoriasis (twice weekly) significantly increases the probability of keeping patient under remission during 6 months, compared with vehicle (40.3% relapses vs. 11.6% relapses, ITT). The objective of the study was to assess the cost-effectiveness of a maintenance therapy with CPS vs. its vehicle in nine European countries. A 24-week decision tree model was developed with 4-weekly time steps. The considered population has moderate scalp psoriasis successfully treated with a daily application of CPS up to 4 weeks. Data were taken from the CalePso study and from national experts' recommendations for alternative treatment choices, with their probabilities of success taken from literature to develop country-specific models. Health benefits are measured in disease-free days (DFD). The economic analysis includes drug and physician costs. A probabilistic sensitivity analysis (PrSA) assesses the uncertainty of the model. Depending on the country, the mean total number of DFDs per patient is 21-42% higher with CPS compared with vehicle, and the mean total cost is 11-31% lower. The mean costs per DFD are 30-46% lower with CPS compared with the vehicle. The PrSA showed in 1000 simulations that CPS is more effective vs. vehicle in 100% of the cases and less expensive than its vehicle in 80-99% of the cases. This model suggests that CPS is cost-effective in maintaining the success achieved in moderate scalp psoriasis patients. © 2011 The Authors. Journal of the European Academy of Dermatology and Venereology © 2011 European Academy of Dermatology and Venereology.

Dual-stream modulation failure: a novel hypothesis for the formation and maintenance of delusions in schizophrenia.

PubMed

Speechley, William J; Ngan, Elton T C

2008-01-01

Delusions, a cardinal feature of schizophrenia, are characterized by the development and preservation of false beliefs despite reason and evidence to the contrary. A number of cognitive models have made important contributions to our understanding of delusions, though it remains unclear which core cognitive processes are malfunctioning to enable individuals with delusions to form and maintain erroneous beliefs. We propose a modified dual-stream processing model that provides a viable and testable mechanism that can account for this debilitating symptom. Dual-stream models divide decision-making into two streams: a fast, intuitive and automatic form of processing (Stream 1); and a slower, conscious and deliberative process (Stream 2). Our novel model proposes two key influences on the way these streams interact in everyday decision-making: conflict and emotion. Conflict: in most decision-making scenarios one obvious answer presents itself and the two streams converge onto the same conclusion. However, in instances where there are competing alternative possibilities, an individual often experiences dissonance, or a sense of conflict. The detection of this conflict biases processing towards the more deliberative Stream 2. Emotion: highly emotional states can result in behavior that is reflexive and action-oriented. This may be due to the power of emotionally valenced stimuli to bias reasoning towards Stream 1. We propose that in schizophrenia, an abnormal response to these two influences results in a pathological schism between Stream 1 and Stream 2, enabling erroneous intuitive explanations to coexist with contrary logical explanations of the same event. Specifically, we suggest that delusions are the result of a failure to reconcile the two streams due to both a failure of conflict to bias decision-making towards Stream 2 and an accentuated emotional bias towards Stream 1.

Decision-making on shared sanitation in the informal settlements of Kisumu, Kenya.

PubMed

Simiyu, Sheillah; Swilling, Mark; Cairncross, Sandy

2017-10-01

Unlike most quantitative studies that investigate decision-making on investing in sanitation, this study adopted a qualitative approach to investigate decision-making on shared sanitation in the informal settlements of Kisumu city, in Kenya. Using a grounded theory approach, landlords and tenants were interviewed to identify sanitation decisions, individuals involved in decision-making and factors influencing decision-making. The results indicate that the main sanitation decisions are on investment, emptying, repair and cleaning. Landlords make investment, emptying and repair decisions, while tenants make cleaning decisions. Absentee landlords are less involved in most decision-making compared to live-in landlords, who rarely consult tenants in decision-making. Tenants make decisions after consultations with a third party and often collectively with other tenants. Sanitation interventions in informal settlements should thus, target landlords and tenants, with investment efforts being directed at landlords and maintenance efforts at tenants.

Expectation Violation in Political Decision Making: A Psychological Case Study.

PubMed

Öllinger, Michael; Meissner, Karin; von Müller, Albrecht; Collado Seidel, Carlos

2017-01-01

Since the early Gestaltists there has been a strong interest in the question of how problem solvers get stuck in a mental impasse. A key idea is that the repeated activation of a successful strategy from the past results in a mental set ('Einstellung') which determines and constrains the option space to solve a problem. We propose that this phenomenon, which mostly was tested by fairly restricted experiments in the lab, could also be applied to more complex problem constellations and naturalistic decision making. We aim at scrutinizing and reconstructing how a mental set determines the misinterpretation of facts in the field of political decision making and leads in consequence to wrong expectations and an ill-defined problem representation. We will exemplify this psychological mechanism considering a historical example, namely the unexpected stabilization of the Franco regime at the end of World War II and its survival thereafter. A specific focus will be drawn to the significant observation that erroneous expectations were taken as the basis for decisions. This is congruent with the notion that in case of discrepancy between preconceived notions and new information, the former prevails over the new findings. Based on these findings, we suggest a theoretical model for expectation violation in political decision making and develop novel approaches for cognitive empirical research on the mechanisms of expectation violation and its maintenance in political decision making processes.

Expectation Violation in Political Decision Making: A Psychological Case Study

PubMed Central

Öllinger, Michael; Meissner, Karin; von Müller, Albrecht; Collado Seidel, Carlos

2017-01-01

Since the early Gestaltists there has been a strong interest in the question of how problem solvers get stuck in a mental impasse. A key idea is that the repeated activation of a successful strategy from the past results in a mental set (‘Einstellung’) which determines and constrains the option space to solve a problem. We propose that this phenomenon, which mostly was tested by fairly restricted experiments in the lab, could also be applied to more complex problem constellations and naturalistic decision making. We aim at scrutinizing and reconstructing how a mental set determines the misinterpretation of facts in the field of political decision making and leads in consequence to wrong expectations and an ill-defined problem representation. We will exemplify this psychological mechanism considering a historical example, namely the unexpected stabilization of the Franco regime at the end of World War II and its survival thereafter. A specific focus will be drawn to the significant observation that erroneous expectations were taken as the basis for decisions. This is congruent with the notion that in case of discrepancy between preconceived notions and new information, the former prevails over the new findings. Based on these findings, we suggest a theoretical model for expectation violation in political decision making and develop novel approaches for cognitive empirical research on the mechanisms of expectation violation and its maintenance in political decision making processes. PMID:29085316

Fuzzy usage pattern in customizing public transport fleet and its maintenance options

NASA Astrophysics Data System (ADS)

Husniah, H.; Herdiani, L.; Kusmaya; Supriatna, A. K.

2018-05-01

In this paper we study a two-dimensional maintenance contract for a fleet of public transport, such as buses, shuttle etc. The buses are sold with a two-dimensional warranty. The warranty and the maintenance contract are characterized by two parameters – age and usage – which define a two-dimensional region. However, we use one dimensional approach to model these age and usage of the buses. The under-laying maintenance service contracts is the one which offers policy limit cost to protect a service provider (an agent) from over claim and to pursue the owner to do maintenance under specified cost in house. This in turn gives benefit for both the owner of the buses and the agent of service contract. The decision problem for an agent is to determine the optimal price for each option offered, and for the owner is to select the best contract option. We use a Nash game theory formulation in order to obtain a win-win solution – i.e. the optimal price for the agent and the optimal option for the owner. We further assume that there will be three different usage pattern of the buses, i.e. low, medium, and high pattern of the usage rate. In many situations it is often that we face a blur boundary between the adjacent patterns. In this paper we look for the optimal price for the agent and the optimal option for the owner, which minimizes the expected total cost while considering the fuzziness of the usage rate pattern.

Morphological similarities between DBM and a microeconomic model of sprawl

NASA Astrophysics Data System (ADS)

Caruso, Geoffrey; Vuidel, Gilles; Cavailhès, Jean; Frankhauser, Pierre; Peeters, Dominique; Thomas, Isabelle

2011-03-01

We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.

Self-management support for insulin therapy in type 2 diabetes.

PubMed

Funnell, Martha M; Kruger, Davida F; Spencer, Mary

2004-01-01

The purpose of this article is to describe the self-management support that can be provided by diabetes educators for type 2 diabetes patients who are transitioning from therapy with oral hypoglycemic agents to insulin. The role of the diabetes educator in patient education and self-management support during all aspects of insulin therapy is discussed. Phases during which support may be especially important include the decision-making process, initiation, and maintenance. Although some patients make the decision fairly easily, the introduction of insulin therapy is likely to raise many issues and questions for many type 2 diabetes patients. The more reluctant patients may experience psychological insulin resistance, a syndrome where insulin therapy is viewed as a threat or failure, which can affect health professionals as well. The diabetes educator can provide support and approaches to help diminish this resistance and make the transition to insulin therapy easier and more effective for patients with type 2 diabetes. Education and ongoing self-management support are needed for informed decision making and the initiation and maintenance of insulin therapy. Therefore, diabetes educators have a critical role to play during both the decision-making process and the safe transition to insulin therapy.

Adolescent and Young Women's Contraceptive Decision-Making Processes: Choosing "The Best Method for Her".

PubMed

Melo, Juliana; Peters, Marissa; Teal, Stephanie; Guiahi, Maryam

2015-08-01

To evaluate influences on adolescent and young women's contraceptive decision-making processes. We conducted 21 individual interviews with women who presented to an adolescent-focused Title X family planning clinic seeking a new contraceptive method. Data were collected using a semi-structured interview guide, audio-taped and transcribed. Three researchers independently coded the transcripts using grounded theory; codes were organized into overarching themes and discrepancies were resolved. After identification of themes, we organized the conceptual framework of the decision-making process using the transtheoretical model of behavior change in which participants move through 4 stages: (1) contemplation, (2) preparation, (3) action, and (4) maintenance. When contemplating contraception, most of our participants were highly motivated to avoid pregnancy. During preparation, participants gathered information related to their contraceptive concerns. Participants cited peers as primary informants and healthcare providers as experts in the field. Participants integrated information received with their personal concerns about contraception initiation; the most common concerns were effectiveness, method duration, convenience, and side effects. When participants acted on choosing a contraceptive method they described how it fit their individual needs. They considered their contraceptive experiences unique and not necessarily applicable to others. During maintenance, they acted as informants for other peers, but most commonly expressed that each individual must choose "the best method for her." When adolescent and young women select a contraceptive method they balance the benefits and risks of available methods portrayed by peers and provider in the context of their personal concerns. Peer influence appeared to be greatest when participants shared contraceptive concerns and goals. Copyright © 2015 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

A probabilistic maintenance model for diesel engines

NASA Astrophysics Data System (ADS)

Pathirana, Shan; Abeygunawardane, Saranga Kumudu

2018-02-01

In this paper, a probabilistic maintenance model is developed for inspection based preventive maintenance of diesel engines based on the practical model concepts discussed in the literature. Developed model is solved using real data obtained from inspection and maintenance histories of diesel engines and experts' views. Reliability indices and costs were calculated for the present maintenance policy of diesel engines. A sensitivity analysis is conducted to observe the effect of inspection based preventive maintenance on the life cycle cost of diesel engines.

A Decision Support System for Mitigating Stream Temperature Impacts in the Sacramento River

NASA Astrophysics Data System (ADS)

Caldwell, R. J.; Zagona, E. A.; Rajagopalan, B.

2014-12-01

Increasing demands on the limited and variable water supply across the West can result in insufficient streamflow to sustain healthy fish habitat. We develop an integrated decision support system (DSS) for modeling and mitigating stream temperature impacts and demonstrate it on the Sacramento River system in California. Water management in the Sacramento River is a complex task with a diverse set of demands ranging from municipal supply to mitigation of fisheries impacts due to high water temperatures. Current operations utilize the temperature control device (TCD) structure at Shasta Dam to mitigate these high water temperatures downstream at designated compliance points. The TCD structure at Shasta Dam offers a rather unique opportunity to mitigate water temperature violations through adjustments to both release volume and temperature. In this study, we develop and evaluate a model-based DSS with four broad components that are coupled to produce the decision tool for stream temperature mitigation: (i) a suite of statistical models for modeling stream temperature attributes using hydrology and climate variables of critical importance to fish habitat; (ii) a reservoir thermal model for modeling the thermal structure and, consequently, the water release temperature, (iii) a stochastic weather generator to simulate weather sequences consistent with seasonal outlooks; and, (iv) a set of decision rules (i.e., 'rubric') for reservoir water releases in response to outputs from the above components. Multiple options for modifying releases at Shasta Dam were considered in the DSS, including mixing water from multiple elevations through the TCD and using different acceptable levels of risk. The DSS also incorporates forecast uncertainties and reservoir operating options to help mitigate stream temperature impacts for fish habitat, while efficiently using the reservoir water supply and cold pool storage. The use of these coupled tools in simulating impacts of future climate on stream temperature variability is also demonstrated. Results indicate that the DSS could substantially reduce the number of violations of thermal criteria, while ensuring maintenance of the cold pool storage throughout the summer.

Real estate strategies for 2005.

PubMed

Dunbar, Donald R

2005-05-01

Today's healthcare real estate strategies involve: assessing and prioritizing capital availability for building projects, carefully planning and implementing the process for the project Making beneficial decisions regarding facility management and maintenance.

The benefits of future-proof tunable white lighting in the classroom

DOE PAGES

Clark, Terry

2016-11-21

The biggest challenge affecting lighting decisions today is future-proofing. Choices made today will likely be choices that impact the next 20 or perhaps even 40 years. For example, we can expect the best LED lighting available today to maintain 90% of initial light output for 100,000 hours or more. Compare this to a fluorescent lighting system that needs regular maintenance after only 30,000 hours due to lamp burn-outs. The simple act of choosing a LED system over a fluorescent one alone can begin to reduce life cycle costs by saving future maintenance costs. However, the choice of LED over fluorescentmore » is just the beginning. Here, let’s look at other future-proofing decisions that should be considered when choosing your next lighting system.« less

[Work accidents and automatic circuit reclosers in the electricity sector: beyond the immediate causes].

PubMed

Silva, Alessandro Jose Nunes da; Almeida, Ildeberto Muniz de; Vilela, Rodolfo Andrade de Gouveia; Mendes, Renata Wey Berti; Hurtado, Sandra Lorena Beltran

2018-05-10

The Brazilian electricity sector has recorded high work-related mortality rates that have been associated with outsourcing, used to cut costs. In order to decrease the power outage time for consumers, the industry adopted the automatic circuit recloser as the technical solution. The device has hazardous implications for maintenance workers. The aim of this study was to analyze the origins and consequences of work accidents in power systems with automatic circuit recloser, using the Accident Analysis and Prevention (AAP) model. The AAP model was used to investigate two work accidents, aimed to explore the events' organizational origins. Case 1 - when changing a deenergized secondary line, a worker received a shock from the energized primary cable (13.8kV). The system reclosed three times, causing severe injury to the worker (amputation of a lower limb). Case 2 - a fatal work accident occurred during installation of a new crosshead on a partially insulated energized line. The tip of a metal cross arm section strap touched the energized secondary line and electrocuted the maintenance operator. The circuit breaker component of the automatic circuit recloser failed. The analyses revealed how business management logic can participate in the root causes of work accidents through failures in maintenance management, outsourced workforce management, and especially safety management in systems with reclosers. Decisions to adopt automation to guarantee power distribution should not overlook the risks to workers in overhead power lines or fail to acknowledge the importance of ensuring safe conditions.

Application of a Resilience Framework to Military Installations: A Methodology for Energy Resilience Business Case Decisions

DTIC Science & Technology

2016-09-01

Some technologies that were not included in the analysis (due to site-level evaluations), but could be added in the future, include: wind turbines ...number of entities involved in the procurement, operation, maintenance , testing, and fueling of the generators, detailed inventory and cost data is...difficult to obtain. The DPW is often understaffed, leading to uneven testing and maintenance of the equipment despite their best efforts. The

Application of a Resilience Framework to Military Installations: A Methodology for Energy Resilience Business Case Decisions

DTIC Science & Technology

2016-10-04

analysis (due to site-level evaluations), but could be added in the future, include: wind turbines (the installations we visited were not interested due...procurement, operation, maintenance , testing, and fueling of the generators, detailed inventory and cost data is difficult to obtain. The DPW is often...understaffed, leading to uneven testing and maintenance of the equipment despite their best efforts. The reliability of these generators is typically

Optimizing preventive maintenance policy: A data-driven application for a light rail braking system.

PubMed

Corman, Francesco; Kraijema, Sander; Godjevac, Milinko; Lodewijks, Gabriel

2017-10-01

This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventive maintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions.

Optimizing preventive maintenance policy: A data-driven application for a light rail braking system

PubMed Central

Corman, Francesco; Kraijema, Sander; Godjevac, Milinko; Lodewijks, Gabriel

2017-01-01

This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventive maintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions. PMID:29278245

Georgia concrete pavement performance and longevity.

DOT National Transportation Integrated Search

2012-02-01

The Georgia Department of Transportation (GDOT) has effectively utilized its pavement management system (PMS) to make informed, data-driven pavement maintenance decisions, including project selection, project prioritization, and funding allocation. C...

Performance-based maintenance of gas turbines for reliable control of degraded power systems

NASA Astrophysics Data System (ADS)

Mo, Huadong; Sansavini, Giovanni; Xie, Min

2018-03-01

Maintenance actions are necessary for ensuring proper operations of control systems under component degradation. However, current condition-based maintenance (CBM) models based on component health indices are not suitable for degraded control systems. Indeed, failures of control systems are only determined by the controller outputs, and the feedback mechanism compensates the control performance loss caused by the component deterioration. Thus, control systems may still operate normally even if the component health indices exceed failure thresholds. This work investigates the CBM model of control systems and employs the reduced control performance as a direct degradation measure for deciding maintenance activities. The reduced control performance depends on the underlying component degradation modelled as a Wiener process and the feedback mechanism. To this aim, the controller features are quantified by developing a dynamic and stochastic control block diagram-based simulation model, consisting of the degraded components and the control mechanism. At each inspection, the system receives a maintenance action if the control performance deterioration exceeds its preventive-maintenance or failure thresholds. Inspired by realistic cases, the component degradation model considers random start time and unit-to-unit variability. The cost analysis of maintenance model is conducted via Monte Carlo simulation. Optimal maintenance strategies are investigated to minimize the expected maintenance costs, which is a direct consequence of the control performance. The proposed framework is able to design preventive maintenance actions on a gas power plant, to ensuring required load frequency control performance against a sudden load increase. The optimization results identify the trade-off between system downtime and maintenance costs as a function of preventive maintenance thresholds and inspection frequency. Finally, the control performance-based maintenance model can reduce maintenance costs as compared to CBM and pre-scheduled maintenance.

Housing and maintenance of Ambystoma mexicanum, the Mexican axolotl.

PubMed

Farkas, Johanna E; Monaghan, James R

2015-01-01

The aim of this paper is to assemble a significant amount of information on Ambystoma mexicanum, the axolotl salamander, to assist in the basic knowledge needed to raise, breed, and study most aspects of axolotl biology. It is important to understand the basic biology of the axolotl in order to make informed decisions on their proper care and use in experiments. Therefore, we will provide necessary information to the non-herpetologist that will assist in their study of this unique and fascinating animal. We also aim to provide a resource on the general anatomy, behavior, and experimental tips specific to the Mexican axolotl that will be of use to most axolotl laboratories. Axolotls have been actively researched since the 1860s, giving testament to their relatively straightforward maintenance and their versatility as an animal model for development and regeneration. Interest in using the axolotl in laboratory research has grown tremendously over the past decade, so dedicated resources to support the study of this species are needed and encouraged.

Interpretive biases in chronic insomnia: an investigation using a priming paradigm.

PubMed

Ree, Melissa J; Harvey, Allison G

2006-09-01

Disorder-congruent interpretations of ambiguous stimuli characterize several psychological disorders and have been implicated in their maintenance. Models of insomnia have highlighted the importance of cognitive processes, but the possibility that biased interpretations are important has been minimally investigated. Hence, a priming methodology was employed to investigate the presence of an interpretive bias in insomnia. A sample of 78 participants, differing in the presence of a diagnosis of insomnia, severity of sleep disturbance, and sleepiness, was required to read ambiguous sentences and make a lexical decision about target words that followed. Sleepiness at the time of the experiment was associated with the likelihood with which participants made insomnia and threat consistent interpretations of ambiguous sentences. The results suggest that there is a general bias towards threatening interpretations when individuals are sleepy and suggests that cognitive accounts of insomnia require revision to include a role for interpretative bias when people are sleepy. Future research is required to investigate whether this interpretive bias plays a causal role in the maintenance of insomnia.

Computational prediction of strain-dependent diffusion of transcription factors through the cell nucleus.

PubMed

Nava, Michele M; Fedele, Roberto; Raimondi, Manuela T

2016-08-01

Nuclear spreading plays a crucial role in stem cell fate determination. In previous works, we reported evidence of multipotency maintenance for mesenchymal stromal cells cultured on three-dimensional engineered niche substrates, fabricated via two-photon laser polymerization. We correlated maintenance of multipotency to a more roundish morphology of these cells with respect to those cultured on conventional flat substrates. To interpret these findings, here we present a multiphysics model coupling nuclear strains induced by cell adhesion to passive diffusion across the cell nucleus. Fully three-dimensional reconstructions of cultured cells were developed on the basis of confocal images: in particular, the level of nuclear spreading resulted significantly dependent on the cell localization within the niche architecture. We assumed that the cell diffusivity varies as a function of the local volumetric strain. The model predictions indicate that the higher the level of spreading of the cell, the higher the flux across the nucleus of small solutes such as transcription factors. Our results point toward nuclear spreading as a primary mechanism by which the stem cell translates its shape into a fate decision, i.e., by amplifying the diffusive flow of transcriptional activators into the nucleus.

78 FR 57173 - Notice of Availability of the Record of Decision for the Mohave County Wind Farm Project, Mohave...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-17

... generated by the Project. The approved Project includes up to 243 wind turbine generators and associated..., operation, maintenance, and decommissioning of the Project to BP Wind Energy; and for the BLM to issue a ROW...; AZA32315AA] Notice of Availability of the Record of Decision for the Mohave County Wind Farm Project, Mohave...

Public Works Department Maintenance Management Information System

DTIC Science & Technology

1976-06-01

Associates, Inc., 1974. 2. Ansoff , Igor H. , Corporate Strategy , McGraw-Hill Book Co., 1965. 3. Anthony, Robert N. , Planning and Control Systems, A...hierarchy of information systems. Ansoff describes management decision-making in three categories as strategic, administrative and operating decisions [Re...involve the firm’s goals, objectives, diversification, product-mix, markets, and growth. Ansoff also notes these other differences: 76 (1) operating

Health behavior change in advance care planning: an agent-based model.

PubMed

Ernecoff, Natalie C; Keane, Christopher R; Albert, Steven M

2016-02-29

A practical and ethical challenge in advance care planning research is controlling and intervening on human behavior. Additionally, observing dynamic changes in advance care planning (ACP) behavior proves difficult, though tracking changes over time is important for intervention development. Agent-based modeling (ABM) allows researchers to integrate complex behavioral data about advance care planning behaviors and thought processes into a controlled environment that is more easily alterable and observable. Literature to date has not addressed how best to motivate individuals, increase facilitators and reduce barriers associated with ACP. We aimed to build an ABM that applies the Transtheoretical Model of behavior change to ACP as a health behavior and accurately reflects: 1) the rates at which individuals complete the process, 2) how individuals respond to barriers, facilitators, and behavioral variables, and 3) the interactions between these variables. We developed a dynamic ABM of the ACP decision making process based on the stages of change posited by the Transtheoretical Model. We integrated barriers, facilitators, and other behavioral variables that agents encounter as they move through the process. We successfully incorporated ACP barriers, facilitators, and other behavioral variables into our ABM, forming a plausible representation of ACP behavior and decision-making. The resulting distributions across the stages of change replicated those found in the literature, with approximately half of participants in the action-maintenance stage in both the model and the literature. Our ABM is a useful method for representing dynamic social and experiential influences on the ACP decision making process. This model suggests structural interventions, e.g. increasing access to ACP materials in primary care clinics, in addition to improved methods of data collection for behavioral studies, e.g. incorporating longitudinal data to capture behavioral dynamics.

Cost-utility evaluation of vortioxetine in patients with Major Depressive Disorder experiencing inadequate response to alternative antidepressants in the United Kingdom.

PubMed

Young, A H; Evitt, L; Brignone, M; Diamand, F; Atsou, K; Campbell, R; Cure, S; Danchenko, N

2017-08-15

Patients frequently require several lines of therapy for treatment of major depressive episodes. This economic analysis details the management of patients who responded inadequately due to lack of efficacy or intolerability to two previous antidepressants in the UK. The model included a decision tree and a Markov component. Health states considered in the decision tree were remission, response, no response, withdrawal due to adverse events, relapse, recovery, and recurrence. The time horizon was 24 months. Patients were on third-line treatment for up to a 3-month acute phase and a 6-month maintenance phase. As third-line efficacy data were not available, inputs were calculated by adjusting original second-line data to third-line based on proportionate reductions observed in STAR*D. Equivalent efficacy was assumed for all comparators. Healthcare resource use and utilities were based on UK estimates. Vortioxetine was a cost-effective treatment option at a threshold of £20,000/QALY vs. escitalopram, citalopram, sertraline, and was associated with more health benefits, less costs (was dominant) versus relevant third-line comparators venlafaxine and duloxetine. Agomelatine was found not to be a cost-effective option. The 22-month maintenance phase treatment scenario results were similar to the 6-month base case. Third-line efficacy data were not available. This highlights the need for studies in patients receiving third-line treatment. This model provides an overview for the management of patients receiving third-line treatment where limited evidence currently exists. Vortioxetine, with its novel mechanism of action, is expected to be a dominant treatment option versus relevant comparators in the UK. Copyright © 2017. Published by Elsevier B.V.

Informed consent to opioid agonist maintenance treatment: recommended ethical guidelines.

PubMed

Carter, Adrian; Hall, Wayne

2008-02-01

Some bioethicists have questioned whether opioid addicted individuals are able to provide free and informed consent to opioid agonist maintenance treatment. Conflicting motives for providing such treatment (e.g. improving the personal health of addicts and protecting public health and order) can also influence what individuals are required to consent to, and how that consent is obtained. We discuss both issues and attempt to specify the conditions for obtaining informed consent to agonist maintenance treatment for opioid addiction. We briefly review the neuroscientific literature on the effects of addiction on the autonomy and decision-making capacity of opioid dependent individuals, and ascertain how informed consent to the treatment of opioid addiction should be obtained. We also provide an ethical analysis of the competing social and medical forces that influence the consent process and make some recommendations on how to ensure that individuals enter maintenance treatment that is provided in an effective and ethical way. Our analysis shows that whilst the autonomy of opioid dependent individuals is impaired by their addiction, they do retain the ability to consent to treatment provided they are not in acute withdrawal or intoxication. These symptoms should have abated, either by supervised withdrawal or stabilisation on agonist maintenance, before they are asked to consent to a detailed treatment contract. Once stabilised, individuals should be provided with detailed information about the risks and benefits of all treatments, and restrictions and regulations under which they are provided. Informed consent is an important part of the treatment process that should be obtained in ways that increase the autonomy and decision-making capacity in opioid addicts.

Model Hosting for continuous updating and transparent Water Resources Management

NASA Astrophysics Data System (ADS)

Jódar, Jorge; Almolda, Xavier; Batlle, Francisco; Carrera, Jesús

2013-04-01

Numerical models have become a standard tool for water resources management. They are required for water volume bookkeeping and help in decision making. Nevertheless, numerical models are complex and they can be used only by highly qualified technicians, which are often far from the decision makers. Moreover, they need to be maintained. That is, they require updating of their state, by assimilation of measurements, natural and anthropic actions (e.g., pumping and weather data), and model parameters. Worst, their very complexity implies that are they viewed as obscure and far, which hinders transparency and governance. We propose internet model hosting as an alternative to overcome these limitations. The basic idea is to keep the model hosted in the cloud. The model is updated as new data (measurements and external forcing) becomes available, which ensures continuous maintenance, with a minimal human cost (only required to address modelling problems). Internet access facilitates model use not only by modellers, but also by people responsible for data gathering and by water managers. As a result, the model becomes an institutional tool shared by water agencies to help them not only in decision making for sustainable management of water resources, but also in generating a common discussion platform. By promoting intra-agency sharing, the model becomes the common official position of the agency, which facilitates commitment in their adopted decisions regarding water management. Moreover, by facilitating access to stakeholders and the general public, the state of the aquifer and the impacts of alternative decisions become transparent. We have developed a tool (GAC, Global Aquifer Control) to address the above requirements. The application has been developed using Cloud Computing technologies, which facilitates the above operations. That is, GAC automatically updates the numerical models with the new available measurements, and then simulates numerous management options as required. To this end the application generates as many computing virtual machines as needed, customizing their size (CPU, memory…) accounting for all the particular requirements of every numerical model. Results are presented from a quantitative point of view (i.e. groundwater as a resource), and also from a qualitative perspective (i.e. the use of solute concentrations in groundwater as an environmental vector). In both cases detailed mass balances time series are obtained which can be used jointly with all the input and output model data to solve water conflicts between the different actors using and/or affecting the groundwater of the aquifer.

Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.

PubMed

Sheikhtaheri, Abbas; Sadoughi, Farahnaz; Hashemi Dehaghi, Zahra

2014-09-01

Complicacy of clinical decisions justifies utilization of information systems such as artificial intelligence (e.g. expert systems and neural networks) to achieve better decisions, however, application of these systems in the medical domain faces some challenges. We aimed at to review the applications of these systems in the medical domain and discuss about such challenges. Following a brief introduction of expert systems and neural networks by representing few examples, the challenges of these systems in the medical domain are discussed. We found that the applications of expert systems and artificial neural networks have been increased in the medical domain. These systems have shown many advantages such as utilization of experts' knowledge, gaining rare knowledge, more time for assessment of the decision, more consistent decisions, and shorter decision-making process. In spite of all these advantages, there are challenges ahead of developing and using such systems including maintenance, required experts, inputting patients' data into the system, problems for knowledge acquisition, problems in modeling medical knowledge, evaluation and validation of system performance, wrong recommendations and responsibility, limited domains of such systems and necessity of integrating such systems into the routine work flows. We concluded that expert systems and neural networks can be successfully used in medicine; however, there are many concerns and questions to be answered through future studies and discussions.

Integration of health management and support systems is key to achieving cost reduction and operational concept goals of the 2nd generation reusable launch vehicle

NASA Astrophysics Data System (ADS)

Koon, Phillip L.; Greene, Scott

2002-07-01

Our aerospace customers are demanding that we drastically reduce the cost of operating and supporting our products. Our space customer in particular is looking for the next generation of reusable launch vehicle systems to support more aircraft like operation. To achieve this goal requires more than an evolution in materials, processes and systems, what is required is a paradigm shift in the design of the launch vehicles and the processing systems that support the launch vehicles. This paper describes the Automated Informed Maintenance System (AIM) we are developing for NASA's Space Launch Initiative (SLI) Second Generation Reusable Launch Vehicle (RLV). Our system includes an Integrated Health Management (IHM) system for the launch vehicles and ground support systems, which features model based diagnostics and prognostics. Health Management data is used by our AIM decision support and process aids to automatically plan maintenance, generate work orders and schedule maintenance activities along with the resources required to execute these processes. Our system will automate the ground processing for a spaceport handling multiple RLVs executing multiple missions. To accomplish this task we are applying the latest web based distributed computing technologies and application development techniques.

Optimization of Installation, Operation and Maintenance at Offshore Wind Projects in the U.S.: Review and Modeling of Existing and Emerging Approaches

DOE Office of Scientific and Technical Information (OSTI.GOV)

Baldock, Nick; Sevilla, Fernando; Redfern, Robin

The United States Department of Energy (DOE) awarded a grant to GL Garrad Hassan (GL GH) to investigate the logistics, opportunities, and costs associated with existing and emerging installation and operation and maintenance (O&M) activities at offshore wind projects as part of the DOE’s program to reduce barriers facing offshore wind project development in the United States (U.S.). This report (the Report) forms part of Subtopic 5.3 “Optimized Installation, Operation and Maintenance Strategies Study” which in turn is part of the “Removing Market Barriers in U.S. Offshore Wind” set of projects for the DOE. The purpose of Subtopic 5.3 ismore » to aid and facilitate informed decision-making regarding installation and O&M during the development, installation, and operation of offshore wind projects in order to increase efficiency and reduce the levelized cost of energy (LCoE). Given the large area of U.S. territorial waters, the generally higher mean wind speeds offshore, and the proximity to the coast of many large U.S. cities, offshore wind power has the potential to become a significant contributor of energy to U.S. markets. However, for the U.S. to ensure that the development of offshore wind energy projects is carried out in an efficient and cost-effective manner, it is important to be cognizant of the current and emerging practices in both the domestic and international offshore wind energy industries. The U.S. can harness the experience gained globally and combine this with the skills and assets of an already sizeable onshore wind industry, as well as the resources of a mature offshore oil and gas industry, to develop a strong offshore wind sector. The work detailed in this report is aimed at assisting with that learning curve, particularly in terms of offshore specific installation and O&M activities. This Report and the Installation and O&M LCoE Analysis Tool, which were developed together by GL GH as part of this study, allow readers to identify, model and probe the economic merits and sensitivities of various approaches to construction and O&M practices, using illustrative offshore projects across a wide range of alternative offshore development areas located in U.S. waters. The intention is to assist decision-makers in clearly understanding the relative economic benefits of both conventional and novel construction installation methodologies and maintenance techniques within the critical parameters of a Project’s LCoE.« less

36 CFR 230.37 - State priority plan-educational assistance.

Code of Federal Regulations, 2013 CFR

2013-07-01

... sessions; (8) Web site construction and maintenance; or (9) Similar activities designed to bring landowners to an informed decision point and accelerate adoption of sustainable forest practices in a State. (b...

36 CFR 230.37 - State priority plan-educational assistance.

Code of Federal Regulations, 2014 CFR

2014-07-01

... sessions; (8) Web site construction and maintenance; or (9) Similar activities designed to bring landowners to an informed decision point and accelerate adoption of sustainable forest practices in a State. (b...

36 CFR 230.37 - State priority plan-educational assistance.

Code of Federal Regulations, 2012 CFR

2012-07-01

... sessions; (8) Web site construction and maintenance; or (9) Similar activities designed to bring landowners to an informed decision point and accelerate adoption of sustainable forest practices in a State. (b...

Consolidated asset management for Minnesota local agencies.

DOT National Transportation Integrated Search

2016-06-01

Transportation agencies are increasingly turning their attention to transportation asset management (TAM), a systematic process for tracking the conditions of physical infrastructure to make better decisions about its maintenance. TAM is mandated by ...

Full closure strategic analysis.

DOT National Transportation Integrated Search

2014-07-01

The full closure strategic analysis was conducted to create a decision process whereby full roadway : closures for construction and maintenance activities can be evaluated and approved or denied by CDOT : Traffic personnel. The study reviewed current...

Bearing Procurement Analysis Method by Total Cost of Ownership Analysis and Reliability Prediction

NASA Astrophysics Data System (ADS)

Trusaji, Wildan; Akbar, Muhammad; Sukoyo; Irianto, Dradjad

2018-03-01

In making bearing procurement analysis, price and its reliability must be considered as decision criteria, since price determines the direct cost as acquisition cost and reliability of bearing determine the indirect cost such as maintenance cost. Despite the indirect cost is hard to identify and measured, it has high contribution to overall cost that will be incurred. So, the indirect cost of reliability must be considered when making bearing procurement analysis. This paper tries to explain bearing evaluation method with the total cost of ownership analysis to consider price and maintenance cost as decision criteria. Furthermore, since there is a lack of failure data when bearing evaluation phase is conducted, reliability prediction method is used to predict bearing reliability from its dynamic load rating parameter. With this method, bearing with a higher price but has higher reliability is preferable for long-term planning. But for short-term planning the cheaper one but has lower reliability is preferable. This contextuality can give rise to conflict between stakeholders. Thus, the planning horizon needs to be agreed by all stakeholder before making a procurement decision.

Using decision-tree classifier systems to extract knowledge from databases

NASA Technical Reports Server (NTRS)

St.clair, D. C.; Sabharwal, C. L.; Hacke, Keith; Bond, W. E.

1990-01-01

One difficulty in applying artificial intelligence techniques to the solution of real world problems is that the development and maintenance of many AI systems, such as those used in diagnostics, require large amounts of human resources. At the same time, databases frequently exist which contain information about the process(es) of interest. Recently, efforts to reduce development and maintenance costs of AI systems have focused on using machine learning techniques to extract knowledge from existing databases. Research is described in the area of knowledge extraction using a class of machine learning techniques called decision-tree classifier systems. Results of this research suggest ways of performing knowledge extraction which may be applied in numerous situations. In addition, a measurement called the concept strength metric (CSM) is described which can be used to determine how well the resulting decision tree can differentiate between the concepts it has learned. The CSM can be used to determine whether or not additional knowledge needs to be extracted from the database. An experiment involving real world data is presented to illustrate the concepts described.

Modeling a maintenance simulation of the geosynchronous platform

NASA Technical Reports Server (NTRS)

Kleiner, A. F., Jr.

1980-01-01

A modeling technique used to conduct a simulation study comparing various maintenance routines for a space platform is dicussed. A system model is described and illustrated, the basic concepts of a simulation pass are detailed, and sections on failures and maintenance are included. The operation of the system across time is best modeled by a discrete event approach with two basic events - failure and maintenance of the system. Each overall simulation run consists of introducing a particular model of the physical system, together with a maintenance policy, demand function, and mission lifetime. The system is then run through many passes, each pass corresponding to one mission and the model is re-initialized before each pass. Statistics are compiled at the end of each pass and after the last pass a report is printed. Items of interest typically include the time to first maintenance, total number of maintenance trips for each pass, average capability of the system, etc.

Integrating Safety in the Aviation System: Interdepartmental Training for Pilots and Maintenance Technicians

NASA Technical Reports Server (NTRS)

Mattson, Marifran; Petrin, Donald A.; Young, John P.

2001-01-01

The study of human factors has had a decisive impact on the aviation industry. However, the entire aviation system often is not considered in researching, training, and evaluating human factors issues especially with regard to safety. In both conceptual and practical terms, we argue for the proactive management of human error from both an individual and organizational systems perspective. The results of a multidisciplinary research project incorporating survey data from professional pilots and maintenance technicians and an exploratory study integrating students from relevant disciplines are reported. Survey findings suggest that latent safety errors may occur during the maintenance discrepancy reporting process because pilots and maintenance technicians do not effectively interact with one another. The importance of interdepartmental or cross-disciplinary training for decreasing these errors and increasing safety is discussed as a primary implication.

Optimal Lease Contract for Remanufactured Equipment

NASA Astrophysics Data System (ADS)

Iskandar, B. P.; Wangsaputra, R.; Pasaribu, U. S.; Husniah, H.

2018-03-01

In the last two decades, the business of lease products (or equipment) has grown significantly, and many companies acquire equipment through leasing. In this paper, we propose a new lease contract under which a product (or equipment) is leased for a period of time with maximum usage per period (e.g. 1 year). This lease contract has only a time limit but no usage limit. If the total usage per period exceeds the maximum usage allowed in the contract, then the customer (as a lessee) will be charged an additional cost. In general, the lessor (OEM) provides a full coverage of maintenance, which includes PM and CM under the lease contract. It is considered that the lessor offers the lease contract for a remanufactured product. We presume that the price of the lease contract for the remanufactured product is much lower than that of a new one, and hence it would be a more attractive option to the customer. The decision problem for the lessee is to select the best option offered that fits to its requirement, and the decision problem for the lessor is find the optimal maintenance efforts for a given price of the lease option offered. We first find the optimal decisions independently for each party, and then the joint optimal decisions for both parties.

A Fuzzy analytical hierarchy process approach in irrigation networks maintenance

NASA Astrophysics Data System (ADS)

Riza Permana, Angga; Rintis Hadiani, Rr.; Syafi'i

2017-11-01

Ponorogo Regency has 440 Irrigation Area with a total area of 17,950 Ha. Due to the limited budget and lack of maintenance cause decreased function on the irrigation. The aim of this study is to make an appropriate system to determine the indices weighted of the rank prioritization criteria for irrigation network maintenance using a fuzzy-based methodology. The criteria that are used such as the physical condition of irrigation networks, area of service, estimated maintenance cost, and efficiency of irrigation water distribution. 26 experts in the field of water resources in the Dinas Pekerjaan Umum were asked to fill out the questionnaire, and the result will be used as a benchmark to determine the rank of irrigation network maintenance priority. The results demonstrate that the physical condition of irrigation networks criterion (W1) = 0,279 has the greatest impact on the assessment process. The area of service (W2) = 0,270, efficiency of irrigation water distribution (W4) = 0,249, and estimated maintenance cost (W3) = 0,202 criteria rank next in effectiveness, respectively. The proposed methodology deals with uncertainty and vague data using triangular fuzzy numbers, and, moreover, it provides a comprehensive decision-making technique to assess maintenance priority on irrigation network.

A two-level structure for advanced space power system automation

NASA Technical Reports Server (NTRS)

Loparo, Kenneth A.; Chankong, Vira

1990-01-01

The tasks to be carried out during the three-year project period are: (1) performing extensive simulation using existing mathematical models to build a specific knowledge base of the operating characteristics of space power systems; (2) carrying out the necessary basic research on hierarchical control structures, real-time quantitative algorithms, and decision-theoretic procedures; (3) developing a two-level automation scheme for fault detection and diagnosis, maintenance and restoration scheduling, and load management; and (4) testing and demonstration. The outlines of the proposed system structure that served as a master plan for this project, work accomplished, concluding remarks, and ideas for future work are also addressed.

Documenting the decision structure in software development

NASA Technical Reports Server (NTRS)

Wild, J. Christian; Maly, Kurt; Shen, Stewart N.

1990-01-01

Current software development paradigms focus on the products of the development process. Much of the decision making process which produces these products is outside the scope of these paradigms. The Decision-Based Software Development (DBSD) paradigm views the design process as a series of interrelated decisions which involve the identification and articulation of problems, alternates, solutions and justifications. Decisions made by programmers and analysts are recorded in a project data base. Unresolved problems are also recorded and resources for their resolution are allocated by management according to the overall development strategy. This decision structure is linked to the products affected by the relevant decision and provides a process oriented view of the resulted system. Software maintenance uses this decision view of the system to understand the rationale behind the decisions affecting the part of the system to be modified. D-HyperCase, a prototype Decision-Based Hypermedia System is described and results of applying the DBSD approach during its development are presented.

Sustainability and economics: The Adirondack Park experience, a forest economic-ecological model, and solar energy policy

NASA Astrophysics Data System (ADS)

Erickson, Jon David

The long-term sustainability of human communities will depend on our relationship with regional environments, our maintenance of renewable resources, and our successful disengagement from nonrenewable energy dependence. This dissertation investigates sustainability at these three levels, following a critical analysis of sustainability and economics. At the regional environment level, the Adirondack Park of New York State is analyzed as a potential model of sustainable development. A set of initial and ongoing conditions are presented that both emerge from and support a model of sustainability in the Adirondacks. From these conditions, a clearer picture emerges of the definition of regional sustainability, consequences of its adoption, and lessons from its application. Next, an economic-ecological model of the northern hardwood forest ecosystem is developed. The model integrates economic theory and intertemporal ecological concepts, linking current harvest decisions with future forest growth, financial value, and ecosystem stability. The results indicate very different economic and ecological outcomes by varying opportunity cost and ecosystem recovery assumptions, and suggest a positive benefit to ecological recovery in the forest rotation decision of the profit maximizing manager. The last section investigates the motives, economics, and international development implications of renewable energy (specifically photovoltaic technology) in rural electrification and technology transfer, drawing on research in the Dominican Republic. The implications of subsidizing a photovoltaic market versus investing in basic research are explored.

Region 9: Nevada Adequate Letter (3/30/2006)

EPA Pesticide Factsheets

This is a letter from Deborah Jordan, Director, to Leo M. Drozdoff regarding Nevada's motor vehicle emissions budgets in the 2005 Truckee Meadows CO Redesignation Request and Maintenance Plan are adequate for transportation conformity decisions.

75 FR 60093 - Record of Decision for the United States Marine Corps Basewide Utilities Infrastructure Project...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-29

... construction, operation, and maintenance of utility infrastructure upgrades, expansions, and improvements... and wastewater facilities and road improvements to Range 130. All practical means to avoid or minimize...

OPTIONS FOR REDUCING REFRIGERANT EMISSIONS FROM SUPERMARKET SYSTEMS

EPA Science Inventory

The report was prepared to assist personnel responsible for the design, construction, and maintenance of retail food refrigeration equipment in making knowledgeable decisions regarding the implementation of refrigerant-emissions-reducing practices and technologies. It characteriz...

50 CFR 18.76 - Presiding officer.

Code of Federal Regulations, 2010 CFR

2010-10-01

...) Render a recommended decision; and (8) Do all acts and take all measures, including regulation of media coverage, for the maintenance of order at and the efficient conduct of the proceeding. (c) In case of the...

Multimodal Transportation Facility Resilience Index

DOT National Transportation Integrated Search

2017-03-21

A new paradigm for complex systems performance and maintenance decision making is developing in the form of resilience engineering. Depending on the subject area, different definitions of resilience exist. In this project, we adopt a definition appro...

A Theoretical Reassessment of Microbial Maintenance and Implications for Microbial Ecology Modeling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Gangsheng; Post, Wilfred M

We attempted to reconcile three microbial maintenance models (Herbert, Pirt, and Compromise) through a critical reassessment. We provided a rigorous proof that the true growth yield coefficient (YG) is the ratio of the specific maintenance rate (a in Herbert) to the maintenance coefficient (m in Pirt). Other findings from this study include: (1) the Compromise model is identical to the Herbert for computing microbial growth and substrate consumption, but it expresses the dependence of maintenance on both microbial biomass and substrate; (2) the maximum specific growth rate in the Herbert ( max,H) is higher than those in the other twomore » models ( max,P and max,C), and the difference is the physiological maintenance factor (mq = a); and (3) the overall maintenance coefficient (mT) is more sensitive to mq than to the specific growth rate ( G) and YG. Our critical reassessment of microbial maintenance provides a new approach for quantifying some important components in soil microbial ecology models.« less

In-group and role identity influences on the initiation and maintenance of students' voluntary attendance at peer study sessions for statistics.

PubMed

White, Katherine M; O'Connor, Erin L; Hamilton, Kyra

2011-06-01

Although class attendance is linked to academic performance, questions remain about what determines students' decisions to attend or miss class. In addition to the constructs of a common decision-making model, the theory of planned behaviour, the present study examined the influence of student role identity and university student (in-group) identification for predicting both the initiation and maintenance of students' attendance at voluntary peer-assisted study sessions in a statistics subject. University students enrolled in a statistics subject were invited to complete a questionnaire at two time points across the academic semester. A total of 79 university students completed questionnaires at the first data collection point, with 46 students completing the questionnaire at the second data collection point. Twice during the semester, students' attitudes, subjective norm, perceived behavioural control, student role identity, in-group identification, and intention to attend study sessions were assessed via on-line questionnaires. Objective measures of class attendance records for each half-semester (or 'term') were obtained. Across both terms, students' attitudes predicted their attendance intentions, with intentions predicting class attendance. Earlier in the semester, in addition to perceived behavioural control, both student role identity and in-group identification predicted students' attendance intentions, with only role identity influencing intentions later in the semester. These findings highlight the possible chronology that different identity influences have in determining students' initial and maintained attendance at voluntary sessions designed to facilitate their learning. ©2010 The British Psychological Society.

A review on effectiveness of best management practices in improving hydrology and water quality: Needs and opportunities.

PubMed

Liu, Yaoze; Engel, Bernard A; Flanagan, Dennis C; Gitau, Margaret W; McMillan, Sara K; Chaubey, Indrajeet

2017-12-01

Best management practices (BMPs) have been widely used to address hydrology and water quality issues in both agricultural and urban areas. Increasing numbers of BMPs have been studied in research projects and implemented in watershed management projects, but a gap remains in quantifying their effectiveness through time. In this paper, we review the current knowledge about BMP efficiencies, which indicates that most empirical studies have focused on short-term efficiencies, while few have explored long-term efficiencies. Most simulation efforts that consider BMPs assume constant performance irrespective of ages of the practices, generally based on anticipated maintenance activities or the expected performance over the life of the BMP(s). However, efficiencies of BMPs likely change over time irrespective of maintenance due to factors such as degradation of structures and accumulation of pollutants. Generally, the impacts of BMPs implemented in water quality protection programs at watershed levels have not been as rapid or large as expected, possibly due to overly high expectations for practice long-term efficiency, with BMPs even being sources of pollutants under some conditions and during some time periods. The review of available datasets reveals that current data are limited regarding both short-term and long-term BMP efficiency. Based on this review, this paper provides suggestions regarding needs and opportunities. Existing practice efficiency data need to be compiled. New data on BMP efficiencies that consider important factors, such as maintenance activities, also need to be collected. Then, the existing and new data need to be analyzed. Further research is needed to create a framework, as well as modeling approaches built on the framework, to simulate changes in BMP efficiencies with time. The research community needs to work together in addressing these needs and opportunities, which will assist decision makers in formulating better decisions regarding BMP implementation in watershed management projects. Copyright © 2017 Elsevier B.V. All rights reserved.

The feasibility of replacing or upgrading utility distribution transformers during routine maintenance

DOE Office of Scientific and Technical Information (OSTI.GOV)

Barnes, P.R.; Van Dyke, J.W; McConnell, B.W.

It is estimated that electric utilities use about 40 million distribution transformers in supplying electricity to customers in the United States. Although utility distribution transformers collectively have a high average efficiency, they account for approximately 61 billion kWh of the 229 billion kWh of energy lost annually in the delivery of electricity. Distribution transformers are being replaced over time by new, more efficient, lower-loss units during routine utility maintenance of power distribution systems. Maintenance is typically not performed on units in service. However, units removed from service with appreciable remaining life are often refurbished and returned to stock. Distribution transformersmore » may be removed from service for many reasons, including failure, over- or underloading, or line upgrades such as voltage changes or rerouting. When distribution transformers are removed from service, a decision must be made whether to dispose of the transformer and purchase a lower-loss replacement or to refurbish the transformer and return it to stock for future use. This report contains findings and recommendations on replacing utility distribution transformers during routine maintenance, which is required by section 124 of the Energy Policy Act of 1992. The objectives of the study are to evaluate the practicability, cost-effectiveness, and potential energy savings of replacing or upgrading existing transformers during routine utility maintenance and to develop recommendations on ways to achieve the potential energy savings. Using survey data obtained from utilities and analyses of the economics of refurbishment versus replacement of distribution transformers that are removed from service, it is found that on average utilities are implementing reasonable decisions on refurbishment versus replacement.« less

State dependent optimization of measurement policy

NASA Astrophysics Data System (ADS)

Konkarikoski, K.

2010-07-01

Measurements are the key to rational decision making. Measurement information generates value, when it is applied in the decision making. An investment cost and maintenance costs are associated with each component of the measurement system. Clearly, there is - under a given set of scenarios - a measurement setup that is optimal in expected (discounted) utility. This paper deals how the measurement policy optimization is affected by different system states and how this problem can be tackled.

Implementing chronic care for COPD: planned visits, care coordination, and patient empowerment for improved outcomes.

PubMed

Fromer, Len

2011-01-01

Current primary care patterns for chronic obstructive pulmonary disease (COPD) focus on reactive care for acute exacerbations, often neglecting ongoing COPD management to the detriment of patient experience and outcomes. Proactive diagnosis and ongoing multifactorial COPD management, comprising smoking cessation, influenza and pneumonia vaccinations, pulmonary rehabilitation, and symptomatic and maintenance pharmacotherapy according to severity, can significantly improve a patient's health-related quality of life, reduce exacerbations and their consequences, and alleviate the functional, utilization, and financial burden of COPD. Redesign of primary care according to principles of the chronic care model, which is implemented in the patient-centered medical home, can shift COPD management from acute rescue to proactive maintenance. The chronic care model and patient-centered medical home combine delivery system redesign, clinical information systems, decision support, and self-management support within a practice, linked with health care organization and community resources beyond the practice. COPD care programs implementing two or more chronic care model components effectively reduce emergency room and inpatient utilization. This review guides primary care practices in improving COPD care workflows, highlighting the contributions of multidisciplinary collaborative team care, care coordination, and patient engagement. Each primary care practice can devise a COPD care workflow addressing risk awareness, spirometric diagnosis, guideline-based treatment and rehabilitation, and self-management support, to improve patient outcomes in COPD.

Risk assessment of sewer condition using artificial intelligence tools: application to the SANEST sewer system.

PubMed

Sousa, V; Matos, J P; Almeida, N; Saldanha Matos, J

2014-01-01

Operation, maintenance and rehabilitation comprise the main concerns of wastewater infrastructure asset management. Given the nature of the service provided by a wastewater system and the characteristics of the supporting infrastructure, technical issues are relevant to support asset management decisions. In particular, in densely urbanized areas served by large, complex and aging sewer networks, the sustainability of the infrastructures largely depends on the implementation of an efficient asset management system. The efficiency of such a system may be enhanced with technical decision support tools. This paper describes the role of artificial intelligence tools such as artificial neural networks and support vector machines for assisting the planning of operation and maintenance activities of wastewater infrastructures. A case study of the application of this type of tool to the wastewater infrastructures of Sistema de Saneamento da Costa do Estoril is presented.

On the selection of significant variables in a model for the deteriorating process of facades

NASA Astrophysics Data System (ADS)

Serrat, C.; Gibert, V.; Casas, J. R.; Rapinski, J.

2017-10-01

In previous works the authors of this paper have introduced a predictive system that uses survival analysis techniques for the study of time-to-failure in the facades of a building stock. The approach is population based, in order to obtain information on the evolution of the stock across time, and to help the manager in the decision making process on global maintenance strategies. For the decision making it is crutial to determine those covariates -like materials, morphology and characteristics of the facade, orientation or environmental conditions- that play a significative role in the progression of different failures. The proposed platform also incorporates an open source GIS plugin that includes survival and test moduli that allow the investigator to model the time until a lesion taking into account the variables collected during the inspection process. The aim of this paper is double: a) to shortly introduce the predictive system, as well as the inspection and the analysis methodologies and b) to introduce and illustrate the modeling strategy for the deteriorating process of an urban front. The illustration will be focused on the city of L’Hospitalet de Llobregat (Barcelona, Spain) in which more than 14,000 facades have been inspected and analyzed.

Individual differences and reasoning: a study on personality traits.

PubMed

Bensi, Luca; Giusberti, Fiorella; Nori, Raffaella; Gambetti, Elisa

2010-08-01

Personality can play a crucial role in how people reason and decide. Identifying individual differences related to how we actively gather information and use evidence could lead to a better comprehension and predictability of human reasoning. Recent findings have shown that some personality traits are related to similar decision-making patterns showed by people with mental disorders. We performed research with the aim to investigate delusion-proneness, obsessive-like personality, anxiety (trait and state), and reasoning styles in individuals from the general population. We introduced personality trait and state anxiety scores in a regression model to explore specific associations with: (1) amount of data-gathered prior to making a decision; and (2) the use of confirmatory and disconfirmatory evidence. Results showed that all our independent variables were positively or negatively associated with the amount of data collected in order to make simple probabilistic decisions. Anxiety and obsessiveness were the only predictors of the weight attributed to evidence in favour or against a hypothesis. Findings were discussed in relation to theoretical assumptions, predictions, and clinical implications. Personality traits can predict peculiar ways to reason and decide that, in turn, could be involved to some extent in the formation and/or maintenance of psychological disorders.

Domain general mechanisms of perceptual decision making in human cortex

PubMed Central

Ho, Tiffany C.; Brown, Scott; Serences, John T.

2009-01-01

To successfully interact with objects in the environment, sensory evidence must be continuously acquired, interpreted, and used to guide appropriate motor responses. For example, when driving, a red light should motivate a motor command to depress the brake pedal. Single-unit recording studies have established that simple sensorimotor transformations are mediated by the same neurons that ultimately guide the behavioral response. However, it is also possible that these sensorimotor regions are the recipients of a modality independent decision signal that is computed elsewhere. Here, we used fMRI and human observers to show that the timecourse of activation in a subregion of the right insula is consistent with a role in accumulating sensory evidence independently from the required motor response modality (saccade vs. manual). Furthermore, a combination of computational modeling and simulations of the BOLD response suggests that this region is not simply recruited by general arousal or by the tonic maintenance of attention during the decision process. Our data thus raise the possibility that a modality-independent representation of sensory evidence may guide activity in effector-specific cortical areas prior to the initiation of a behavioral response. PMID:19587274

Frail elderly patients. New model for integrated service delivery.

PubMed Central

Hébert, Rejean; Durand, Pierre J.; Dubuc, Nicole; Tourigny, André

2003-01-01

PROBLEM BEING ADDRESSED: Given the complex needs of frail older people and the multiplicity of care providers and services, care for this clientele lacks continuity. OBJECTIVE OF PROGRAM: Integrated service delivery (ISD) systems have been developed to improve continuity and increase the efficacy and efficiency of services. PROGRAM DESCRIPTION: The Program of Research to Integrate Services for the Maintenance of Autonomy (PRISMA) is an innovative ISD model based on coordination. It includes coordination between decision makers and managers of different organizations and services; a single entry point; a case-management process; individualized service plans; a single assessment instrument based on clients' functional autonomy, coupled with a case-mix classification system; and a computerized clinical chart for communicating between institutions and professionals for client monitoring. CONCLUSION: Preliminary results on the efficacy of this model showed a decreased incidence of functional decline, a decreased burden for caregivers, and a smaller proportion of older people wishing to enter institutions. PMID:12943358

A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling.

PubMed

Wang, Gangsheng; Post, Wilfred M

2012-09-01

We attempted to reconcile three microbial maintenance models (Herbert, Pirt, and Compromise) through a theoretical reassessment. We provided a rigorous proof that the true growth yield coefficient (Y(G)) is the ratio of the specific maintenance rate (a in Herbert) to the maintenance coefficient (m in Pirt). Other findings from this study include: (1) the Compromise model is identical to the Herbert for computing microbial growth and substrate consumption, but it expresses the dependence of maintenance on both microbial biomass and substrate; (2) the maximum specific growth rate in the Herbert (μ(max,H)) is higher than those in the other two models (μ(max,P) and μ(max,C)), and the difference is the physiological maintenance factor (m(q) = a); and (3) the overall maintenance coefficient (m(T)) is more sensitive to m(q) than to the specific growth rate (μ(G)) and Y(G). Our critical reassessment of microbial maintenance provides a new approach for quantifying some important components in soil microbial ecology models. © This article is a US government work and is in the public domain in the USA.

Object-Oriented Bayesian Networks (OOBN) for Aviation Accident Modeling and Technology Portfolio Impact Assessment

NASA Technical Reports Server (NTRS)

Shih, Ann T.; Ancel, Ersin; Jones, Sharon M.

2012-01-01

The concern for reducing aviation safety risk is rising as the National Airspace System in the United States transforms to the Next Generation Air Transportation System (NextGen). The NASA Aviation Safety Program is committed to developing an effective aviation safety technology portfolio to meet the challenges of this transformation and to mitigate relevant safety risks. The paper focuses on the reasoning of selecting Object-Oriented Bayesian Networks (OOBN) as the technique and commercial software for the accident modeling and portfolio assessment. To illustrate the benefits of OOBN in a large and complex aviation accident model, the in-flight Loss-of-Control Accident Framework (LOCAF) constructed as an influence diagram is presented. An OOBN approach not only simplifies construction and maintenance of complex causal networks for the modelers, but also offers a well-organized hierarchical network that is easier for decision makers to exploit the model examining the effectiveness of risk mitigation strategies through technology insertions.

Factors Associated with Inconsistent Sun Protection in First-Degree Relatives of Melanoma Survivors

PubMed Central

Shuk, Elyse; Burkhalter, Jack; Baguer, Carlos; Holland, Susan; Pinkhasik, Alisa; Brady, Mary Sue; Coit, Daniel; Ariyan, Charlotte; Hay, Jennifer

2014-01-01

First-degree relatives (FDRs) of melanoma survivors are at heightened risk for developing melanoma, but sporadically use sun protection. To develop appropriate interventions, in this article we identify factors related to sun protection inconsistency in melanoma FDRs using ethnographic decision tree modeling. We conducted in-home interviews with 25 melanoma FDRs balanced across gender and sunbathing attitudes and identified factors related to daily decision making about use of sunscreen, shade seeking, hats, and clothing. Results indicated primary facilitators for sun protection involved water settings and sunny weather. Physical activities such as exercise served to promote as well as inhibit sun protection. If participants anticipated shade cover, they tended to forgo other sun protection. The use of hats and clothing was often dictated by non-sun protection goals. Understanding factors related to inconsistent sun protection with detail and nuance is an important prerequisite to interventions aimed to improve sun protection maintenance in this population. PMID:22645220

Informal information for web-based engineering catalogues

NASA Astrophysics Data System (ADS)

Allen, Richard D.; Culley, Stephen J.; Hicks, Ben J.

2001-10-01

Success is highly dependent on the ability of a company to efficiently produce optimal designs. In order to achieve this companies must minimize time to market and possess the ability to make fully informed decisions at the early phase of the design process. Such decisions may include the choice of component and suppliers, as well as cost and maintenance considerations. Computer modeling and electronic catalogues are becoming the preferred medium for the selection and design of mechanical components. In utilizing these techniques, the designer demands the capability to identify, evaluate and select mechanical components both quantitatively and qualitatively. Quantitative decisions generally encompass performance data included in the formal catalogue representation. It is in the area of qualitative decisions that the use of what the authors call 'Informal Information' is of crucial importance. Thus, 'Informal Information' must often be incorporated into the selection process and selection systems. This would enable more informed decisions to be made quicker, without the need for information retrieval via discussion with colleagues in the design environment. This paper provides an overview of the use of electronic information in the design of mechanical systems, including a discussion of limitations of current technology. The importance of Informal Information is discussed and the requirements for association with web based electronic catalogues are developed. This system is based on a flexible XML schema and enables the storage, classification and recall of Informal Information packets. Furthermore, a strategy for the inclusion of Informal Information is proposed, and an example case is used to illustrate the benefits.

Behavioral Stage of Change and Dialysis Decision-Making

PubMed Central

McGrail, Anna; Lewis, Steven A.; Schold, Jesse; Lawless, Mary Ellen; Sehgal, Ashwini R.; Perzynski, Adam T.

2015-01-01

Background and objectives Behavioral stage of change (SoC) algorithms classify patients’ readiness for medical treatment decision-making. In the precontemplation stage, patients have no intention to take action within 6 months. In the contemplation stage, action is intended within 6 months. In the preparation stage, patients intend to take action within 30 days. In the action stage, the change has been made. This study examines the influence of SoC on dialysis modality decision-making. Design, setting, participants, & measurements SoC and relevant covariates were measured, and associations with dialysis decision-making were determined. In-depth interviews were conducted with 16 patients on dialysis to elicit experiences. Qualitative interview data informed the survey design. Surveys were administered to adults with CKD (eGFR≤25 ml/min/1.73 m2) from August, 2012 to June, 2013. Multivariable logistic regression modeled dialysis decision-making with predictors: SoC, provider connection, and dialysis knowledge score. Results Fifty-five patients completed the survey (71% women, 39% white, and 59% black), and median annual income was $17,500. In total, 65% of patients were in the precontemplation/contemplation (thinking) and 35% of patients were in the preparation/maintenance (acting) SoC; 62% of patients had made dialysis modality decisions. Doctors explaining modality options, higher dialysis knowledge scores, and fewer lifestyle barriers were associated with acting versus thinking SoC (all P<0.02). Patients making modality decisions had doctors who explained dialysis options (76% versus 43%), were in the acting versus the thinking SoC (50% versus 10%), had higher dialysis knowledge scores (1.4 versus 0.5), and had lower eGFR (13.9 versus 16.8 ml/min/1.73 m2; all P<0.05). In adjusted analyses, dialysis knowledge was significantly associated with decision-making (odds ratio, 4.2; 95% confidence interval, 1.4 to 12.9; P=0.01), and SoC was of borderline significance (odds ratio, 5.8; 95% confidence interval, 1.0 to 32.6; P=0.05). The model C statistic was 0.87. Conclusions Dialysis decision-making was associated with SoC, dialysis knowledge, and physicians discussing treatment options. Future studies determining ways to assist patients with CKD in making satisfying modality decisions are warranted. PMID:25591499

DECISION-SUPPORT TOOLS FOR MANAGING WASTEWATER COLLECTION SYSTEMS

EPA Science Inventory

Wastewater collection systems are an extensive part of the nation's infrastructure. As these systems become older, more preventative maintenance and renewal are required. For municipalities to cost-effectively plan, organize, and implement this effort, they require improved inf...

Green Infrastructure & Sustainable Urban Land Use Decision Analysis Workshop

EPA Science Inventory

Introduce green infrastructure, concepts and land use alternatives, to City of Cleveland operations staff. Discuss potential of green alternatives to impact daily operations and routine maintenance activities. Tie in sustainability concepts to long-term City planning and discu...

Multi-resolution information mining and a computer vision approach to pavement condition distress analysis.

DOT National Transportation Integrated Search

2014-07-01

Pavement Condition surveys are carried out periodically to gather information on pavement distresses that will guide decision-making for maintenance and preservation. Traditional methods involve manual pavement inspections which are time-consuming : ...

Making a Splash.

ERIC Educational Resources Information Center

Maland, Jim

1998-01-01

Presents a 10-step process that allows swimming-pool owners to objectively scrutinize their existing facility's needs, construction, and operation and maintenance budgets before renovating a structurally deficient or costly pool. Four examples of problems involving pool-renovation decision making are highlighted. (GR)

32 CFR 310.37 - DoD training programs.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) considerations that they shall take into account when making management decisions regarding operational programs... include information regarding information privacy laws, regulations, policies and procedures governing the Department's collection, maintenance, use, or dissemination of personal information. The objective is to...

Stormwater and Wastewater Infrastructure Monitoring Test Bed

EPA Science Inventory

The growing application of stormwater and wastewater management in urban and urbanizing environments is increasing the demand for monitoring technologies and systems that can provide reliable performance data, in real-time or near real-time, for operation and maintenance decision...

Development and Calibration of Highway Safety Manual Equations for Florida Conditions

DOT National Transportation Integrated Search

2011-08-31

The Highway Safety Manual (HSM) provides statistically-valid analytical tools and techniques for quantifying the potential effects on crashes as a result of decisions made in planning, design, operations, and maintenance. Implementation of the new te...

Development and calibration of highway safety manual equations for Florida conditions.

DOT National Transportation Integrated Search

2011-08-31

The Highway Safety Manual (HSM) provides statistically-valid analytical tools and techniques for : quantifying the potential effects on crashes as a result of decisions made in planning, design, : operations, and maintenance. Implementation of the ne...

43 CFR 3836.25 - What if BLM denies my petition for deferment of assessment work?

Code of Federal Regulations, 2011 CFR

2011-10-01

...) ANNUAL ASSESSMENT WORK REQUIREMENTS FOR MINING CLAIMS Deferring Assessment Work § 3836.25 What if BLM... BLM decision denying the petition in which to pay the maintenance fee to maintain your claim. ...

43 CFR 3836.25 - What if BLM denies my petition for deferment of assessment work?

Code of Federal Regulations, 2012 CFR

2012-10-01

...) ANNUAL ASSESSMENT WORK REQUIREMENTS FOR MINING CLAIMS Deferring Assessment Work § 3836.25 What if BLM... BLM decision denying the petition in which to pay the maintenance fee to maintain your claim. ...

43 CFR 3836.25 - What if BLM denies my petition for deferment of assessment work?

Code of Federal Regulations, 2014 CFR

2014-10-01

...) ANNUAL ASSESSMENT WORK REQUIREMENTS FOR MINING CLAIMS Deferring Assessment Work § 3836.25 What if BLM... BLM decision denying the petition in which to pay the maintenance fee to maintain your claim. ...

43 CFR 3836.25 - What if BLM denies my petition for deferment of assessment work?

Code of Federal Regulations, 2013 CFR

2013-10-01

...) ANNUAL ASSESSMENT WORK REQUIREMENTS FOR MINING CLAIMS Deferring Assessment Work § 3836.25 What if BLM... BLM decision denying the petition in which to pay the maintenance fee to maintain your claim. ...

DSOM - Decision Support for Operations and Maintenance - Application to a USMC Base Centralized Energy System.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Meador, Richard J.; Hatley, Darrel D.

2004-06-01

PNNL DSOM technology coordinates efficient steam plant operation with EMCS and SCADA systems, providing generation support and automated load shedding to meet peak demand limits saving over $1M in two years.

Robotic System for Condition Assessment of Concrete Bridge Decks : Data Driven Decisions [Tech Brief

DOT National Transportation Integrated Search

2012-12-11

In the United States, the stewardship and management of approximately 599,000 bridges present ongoing planning, operational, maintenance, and economic challenges for Federal, State, and local transportation agencies. To help overcome these challenges...

Decision Support Tool for Nighttime Construction and Air Quality - User’s Guide

DOT National Transportation Integrated Search

2017-11-01

The Texas Department of Transportation (TxDOT) Research Project 0-6864 Investigate the Air Quality Benefits of Nighttime Construction in Non-attainment Counties investigated the potential air quality benefits of shifting construction/maintenance acti...

The cultural evolution of fertility decline

PubMed Central

Colleran, Heidi

2016-01-01

Cultural evolutionists have long been interested in the problem of why fertility declines as populations develop. By outlining plausible mechanistic links between individual decision-making, information flow in populations and competition between groups, models of cultural evolution offer a novel and powerful approach for integrating multiple levels of explanation of fertility transitions. However, only a modest number of models have been published. Their assumptions often differ from those in other evolutionary approaches to social behaviour, but their empirical predictions are often similar. Here I offer the first overview of cultural evolutionary research on demographic transition, critically compare it with approaches taken by other evolutionary researchers, identify gaps and overlaps, and highlight parallel debates in demography. I suggest that researchers divide their labour between three distinct phases of fertility decline—the origin, spread and maintenance of low fertility—each of which may be driven by different causal processes, at different scales, requiring different theoretical and empirical tools. A comparative, multi-level and mechanistic framework is essential for elucidating both the evolved aspects of our psychology that govern reproductive decision-making, and the social, ecological and cultural contingencies that precipitate and sustain fertility decline. PMID:27022079

Neuroscientific Model of Motivational Process

PubMed Central

Kim, Sung-il

2013-01-01

Considering the neuroscientific findings on reward, learning, value, decision-making, and cognitive control, motivation can be parsed into three sub processes, a process of generating motivation, a process of maintaining motivation, and a process of regulating motivation. I propose a tentative neuroscientific model of motivational processes which consists of three distinct but continuous sub processes, namely reward-driven approach, value-based decision-making, and goal-directed control. Reward-driven approach is the process in which motivation is generated by reward anticipation and selective approach behaviors toward reward. This process recruits the ventral striatum (reward area) in which basic stimulus-action association is formed, and is classified as an automatic motivation to which relatively less attention is assigned. By contrast, value-based decision-making is the process of evaluating various outcomes of actions, learning through positive prediction error, and calculating the value continuously. The striatum and the orbitofrontal cortex (valuation area) play crucial roles in sustaining motivation. Lastly, the goal-directed control is the process of regulating motivation through cognitive control to achieve goals. This consciously controlled motivation is associated with higher-level cognitive functions such as planning, retaining the goal, monitoring the performance, and regulating action. The anterior cingulate cortex (attention area) and the dorsolateral prefrontal cortex (cognitive control area) are the main neural circuits related to regulation of motivation. These three sub processes interact with each other by sending reward prediction error signals through dopaminergic pathway from the striatum and to the prefrontal cortex. The neuroscientific model of motivational process suggests several educational implications with regard to the generation, maintenance, and regulation of motivation to learn in the learning environment. PMID:23459598

Neuroscientific model of motivational process.

PubMed

Kim, Sung-Il

2013-01-01

Considering the neuroscientific findings on reward, learning, value, decision-making, and cognitive control, motivation can be parsed into three sub processes, a process of generating motivation, a process of maintaining motivation, and a process of regulating motivation. I propose a tentative neuroscientific model of motivational processes which consists of three distinct but continuous sub processes, namely reward-driven approach, value-based decision-making, and goal-directed control. Reward-driven approach is the process in which motivation is generated by reward anticipation and selective approach behaviors toward reward. This process recruits the ventral striatum (reward area) in which basic stimulus-action association is formed, and is classified as an automatic motivation to which relatively less attention is assigned. By contrast, value-based decision-making is the process of evaluating various outcomes of actions, learning through positive prediction error, and calculating the value continuously. The striatum and the orbitofrontal cortex (valuation area) play crucial roles in sustaining motivation. Lastly, the goal-directed control is the process of regulating motivation through cognitive control to achieve goals. This consciously controlled motivation is associated with higher-level cognitive functions such as planning, retaining the goal, monitoring the performance, and regulating action. The anterior cingulate cortex (attention area) and the dorsolateral prefrontal cortex (cognitive control area) are the main neural circuits related to regulation of motivation. These three sub processes interact with each other by sending reward prediction error signals through dopaminergic pathway from the striatum and to the prefrontal cortex. The neuroscientific model of motivational process suggests several educational implications with regard to the generation, maintenance, and regulation of motivation to learn in the learning environment.

Evaluation of Enhanced Risk Monitors for Use on Advanced Reactors

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ramuhalli, Pradeep; Veeramany, Arun; Bonebrake, Christopher A.

This study provides an overview of the methodology for integrating time-dependent failure probabilities into nuclear power reactor risk monitors. This prototypic enhanced risk monitor (ERM) methodology was evaluated using a hypothetical probabilistic risk assessment (PRA) model, generated using a simplified design of a liquid-metal-cooled advanced reactor (AR). Component failure data from industry compilation of failures of components similar to those in the simplified AR model were used to initialize the PRA model. Core damage frequency (CDF) over time were computed and analyzed. In addition, a study on alternative risk metrics for ARs was conducted. Risk metrics that quantify the normalizedmore » cost of repairs, replacements, or other operations and management (O&M) actions were defined and used, along with an economic model, to compute the likely economic risk of future actions such as deferred maintenance based on the anticipated change in CDF due to current component condition and future anticipated degradation. Such integration of conventional-risk metrics with alternate-risk metrics provides a convenient mechanism for assessing the impact of O&M decisions on safety and economics of the plant. It is expected that, when integrated with supervisory control algorithms, such integrated-risk monitors will provide a mechanism for real-time control decision-making that ensure safety margins are maintained while operating the plant in an economically viable manner.« less

A particle swarm model for estimating reliability and scheduling system maintenance

NASA Astrophysics Data System (ADS)

Puzis, Rami; Shirtz, Dov; Elovici, Yuval

2016-05-01

Modifying data and information system components may introduce new errors and deteriorate the reliability of the system. Reliability can be efficiently regained with reliability centred maintenance, which requires reliability estimation for maintenance scheduling. A variant of the particle swarm model is used to estimate reliability of systems implemented according to the model view controller paradigm. Simulations based on data collected from an online system of a large financial institute are used to compare three component-level maintenance policies. Results show that appropriately scheduled component-level maintenance greatly reduces the cost of upholding an acceptable level of reliability by reducing the need in system-wide maintenance.

Diagnosis and Prognosis of Weapon Systems

NASA Technical Reports Server (NTRS)

Nolan, Mary; Catania, Rebecca; deMare, Gregory

2005-01-01

The Prognostics Framework is a set of software tools with an open architecture that affords a capability to integrate various prognostic software mechanisms and to provide information for operational and battlefield decision-making and logistical planning pertaining to weapon systems. The Prognostics NASA Tech Briefs, February 2005 17 Framework is also a system-level health -management software system that (1) receives data from performance- monitoring and built-in-test sensors and from other prognostic software and (2) processes the received data to derive a diagnosis and a prognosis for a weapon system. This software relates the diagnostic and prognostic information to the overall health of the system, to the ability of the system to perform specific missions, and to needed maintenance actions and maintenance resources. In the development of the Prognostics Framework, effort was focused primarily on extending previously developed model-based diagnostic-reasoning software to add prognostic reasoning capabilities, including capabilities to perform statistical analyses and to utilize information pertaining to deterioration of parts, failure modes, time sensitivity of measured values, mission criticality, historical data, and trends in measurement data. As thus extended, the software offers an overall health-monitoring capability.

Circuit board accident--organizational dimension hidden by prescribed safety.

PubMed

de Almeida, Ildeberto Muniz; Buoso, Eduardo; do Amaral Dias, Maria Dionísia; Vilela, Rodolfo Andrade Gouveia

2012-01-01

This study analyzes an accident in which two maintenance workers suffered severe burns while replacing a circuit breaker panel in a steel mill, following model of analysis and prevention of accidents (MAPA) developed with the objective of enlarging the perimeter of interventions and contributing to deconstruction of blame attribution practices. The study was based on materials produced by a health service team in an in-depth analysis of the accident. The analysis shows that decisions related to system modernization were taken without considering their implications in maintenance scheduling and creating conflicts of priorities and of interests between production and safety; and also reveals that the lack of a systemic perspective in safety management was its principal failure. To explain the accident as merely non-fulfillment of idealized formal safety rules feeds practices of blame attribution supported by alibi norms and inhibits possible prevention. In contrast, accident analyses undertaken in worker health surveillance services show potential to reveal origins of these events incubated in the history of the system ignored in practices guided by the traditional paradigm.

Repetitive transcranial magnetic stimulation over the right dorsolateral prefrontal cortex affects strategic decision-making.

PubMed

van 't Wout, Mascha; Kahn, René S; Sanfey, Alan G; Aleman, André

2005-11-07

Although decision-making is typically seen as a rational process, emotions play a role in tasks that include unfairness. Recently, activation in the right dorsolateral prefrontal cortex during offers experienced as unfair in the Ultimatum Game was suggested to subserve goal maintenance in this task. This is restricted to correlational evidence, however, and it remains unclear whether the dorsolateral prefrontal cortex is crucial for strategic decision-making. The present study used repetitive transcranial magnetic stimulation in order to investigate the causal role of the dorsolateral prefrontal cortex in strategic decision-making in the Ultimatum Game. The results showed that repetitive transcranial magnetic stimulation over the right dorsolateral prefrontal cortex resulted in an altered decision-making strategy compared with sham stimulation. We conclude that the dorsolateral prefrontal cortex is causally implicated in strategic decision-making in healthy human study participants.

Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

PubMed

DesAutels, Spencer J; Fox, Zachary E; Giuse, Dario A; Williams, Annette M; Kou, Qing-Hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

2016-01-01

Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems.

Targeted intervention: Computational approaches to elucidate and predict relapse in alcoholism.

PubMed

Heinz, Andreas; Deserno, Lorenz; Zimmermann, Ulrich S; Smolka, Michael N; Beck, Anne; Schlagenhauf, Florian

2017-05-01

Alcohol use disorder (AUD) and addiction in general is characterized by failures of choice resulting in repeated drug intake despite severe negative consequences. Behavioral change is hard to accomplish and relapse after detoxification is common and can be promoted by consumption of small amounts of alcohol as well as exposure to alcohol-associated cues or stress. While those environmental factors contributing to relapse have long been identified, the underlying psychological and neurobiological mechanism on which those factors act are to date incompletely understood. Based on the reinforcing effects of drugs of abuse, animal experiments showed that drug, cue and stress exposure affect Pavlovian and instrumental learning processes, which can increase salience of drug cues and promote habitual drug intake. In humans, computational approaches can help to quantify changes in key learning mechanisms during the development and maintenance of alcohol dependence, e.g. by using sequential decision making in combination with computational modeling to elucidate individual differences in model-free versus more complex, model-based learning strategies and their neurobiological correlates such as prediction error signaling in fronto-striatal circuits. Computational models can also help to explain how alcohol-associated cues trigger relapse: mechanisms such as Pavlovian-to-Instrumental Transfer can quantify to which degree Pavlovian conditioned stimuli can facilitate approach behavior including alcohol seeking and intake. By using generative models of behavioral and neural data, computational approaches can help to quantify individual differences in psychophysiological mechanisms that underlie the development and maintenance of AUD and thus promote targeted intervention. Copyright © 2016 Elsevier Inc. All rights reserved.

Improving software maintenance through measurement

NASA Technical Reports Server (NTRS)

Rombach, H. Dieter; Ulery, Bradford T.

1989-01-01

A practical approach to improving software maintenance through measurements is presented. This approach is based on general models for measurement and improvement. Both models, their integration, and practical guidelines for transferring them into industrial maintenance settings are presented. Several examples of applications of the approach to real-world maintenance environments are discussed.

75 FR 81640 - Record of Decision

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-28

... on the Final Environmental Impact Statement/Cape Hatteras National Seashore Off-Road Vehicle... Environmental Impact Statement (Final EIS) for the Cape Hatteras National Seashore (Seashore) Off-Road Vehicle... temporary ORV use restrictions, for such things as ramp maintenance, resource and public safety closures...

Use of Pavement Temperature Measurements for Winter Maintenance Decisions

DOT National Transportation Integrated Search

1988-01-01

Formation of ice and frost on roadways and bridges presents a significant potential impediment to safe winter travel in Iowa. Roadway surface temperatures are not measured routinely by the National Weather Service and are not part of public forecasts...

Use of pavement temperature measurements for winter maintenance decisions

DOT National Transportation Integrated Search

1998-01-01

Formation of ice and frost on roadways and bridges presents a significant potential impediment to safe winter travel in Iowa. Roadway surface temperatures are not measured routinely by the National Weather Service and are not part of public forecasts...

Neighborhoods as a Power Factor.

ERIC Educational Resources Information Center

Woody, Bette; And Others

1980-01-01

Examines Washington, DC, Advisory Neighborhood Commissions (ANC) as an illustration of neighborhood involvement in city revitalization and maintenance. Considers (1) hypotheses about neighborhood roles and participation in public issue raising; (2) ANC structure, participation, and decision roles; and (3) likely roles neighborhood governments can…

Use of Pavement Temperature Measurements for Winter Maintenance Decisions

DOT National Transportation Integrated Search

1998-01-01

Formation of ice and frost on roadways and bridges presents a significant potential impediment to safe winter travel in Iowa. Roadway surface temperatures are not measured routinely by the National Weather Service and are not part of public forecasts...

Simplified web-based decision support method for traffic management and work zone analysis.

DOT National Transportation Integrated Search

2017-01-01

Traffic congestion mitigation is one of the key challenges that transportation planners and operations engineers face when planning for construction and maintenance activities. There is a wide variety of approaches and methods that address work zone ...

Simplified web-based decision support method for traffic management and work zone analysis.

DOT National Transportation Integrated Search

2015-06-01

Traffic congestion mitigation is one of the key challenges that transportation planners and operations engineers face when : planning for construction and maintenance activities. There is a wide variety of approaches and methods that address work : z...

Hanford Site Composite Analysis Technical Approach Description: Atmospheric Transport Modeling.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sun, B.; Lehman, L. L.

2017-10-02

The U.S. Department of Energy (DOE) in DOE O 435.1 Chg. 1, Radioactive Waste Management, requires the preparation and maintenance of a composite analysis (CA). The primary purpose of the CA is to provide a reasonable expectation that the primary public dose limit is not likely to be exceeded by multiple source terms that may significantly interact with plumes originating at a low-level waste disposal facility. The CA is used to facilitate planning and land use decisions that help assure disposal facility authorization will not result in long-term compliance problems; or, to determine management alternatives, corrective actions or assessment needs,more » if potential problems are identified.« less

Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

DOE Data Explorer

Sheppy, Michael; Beach, A.; Pless, Shanti

2016-08-09

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

Decision-making in palliative care: a reflective case study.

PubMed

Birchall, Melissa

2005-01-01

Critical examination of the processes by which we as nurses judge and reach clinical decisions is important. It facilitates the maintenance and refinement of good standards of nursing care and the pinpointing of areas where improvement is needed. In turn this potentially could support broader validation of nurse expertise and contribute to emancipation of the nursing profession. As pure theory, clinical decision-making may appear abstract and alien to nurses struggling in 'the swampy lowlands' (Schon 1983) of the realities of practice. This paper explores some of the key concepts in decision-making theory by introducing, then integrating, them in a reflective case study. The case study, which examines a 'snapshot' of the patient and practitioner's journey, interwoven with theory surrounding clinical decision-making, may aid understanding and utility of concepts and theories in practice.

Merging building maintainability and sustainability assessment: A multicriteria decision making approach

NASA Astrophysics Data System (ADS)

Asmone, A. S.; Chew, M. Y. L.

2018-02-01

Accurately predicting maintainability has been a challenge due to the complex nature of buildings, yet it is an important research area with a rising necessity. This paper explores the use of multicriteria decision making approach for merging maintainability and sustainability elements into building grading systems to attain long-term sustainability in the building industry. The paper conducts a systematic literature review on multicriteria decision analysis approach and builds on the existing knowledge of maintainability to achieve this. A conceptual framework is developed to bridge the gap between building operations and maintenance with green facilities management by forecasting green maintainability at the design stage.

76 FR 53348 - Airworthiness Directives; BAE SYSTEMS (Operations) Limited Model BAe 146 Airplanes and Model Avro...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-26

... Maintenance Manual (AMM) includes chapters 05-10 ``Time Limits'', 05-15 ``Critical Design Configuration... 05, ``Time Limits/Maintenance Checks,'' of BAe 146 Series/AVRO 146-RJ Series Aircraft Maintenance... Chapter 05, ``Time Limits/ Maintenance Checks,'' of the BAE SYSTEMS (Operations) Limited BAe 146 Series...

The cost-effectiveness of methadone maintenance as a health care intervention.

PubMed

Barnett, P G

1999-04-01

Cost-effectiveness analysis using life-years of survival as the measure of treatment benefit is widely used in the economic evaluation of health care interventions but has not been applied to substance abuse treatment. The cost-effectiveness of methadone maintenance was evaluated to demonstrate the feasibility of applying this method to substance abuse treatment. A literature review was undertaken to determine the effect of methadone treatment on the rate of mortality associated with opiate addiction. Information was also obtained on the average cost and duration of treatment. A two-state Markov model was used to estimate the incremental effect of methadone on the life span and treatment cost of a cohort of 25-year-old heroin users. Providing opiate addicts with access to methadone maintenance has an incremental cost-effectiveness ratio of $5915 per life-year gained (that is, for every year of life that is saved by providing methadone to opiate addicts, an additional $5915 in treatment costs are incurred). One-way sensitivity analysis determined that the ratio was less than $10,000 per-life year over a wide range of modeling assumptions. The ratio determined for methadone is lower than that of many common medical therapies, and well within the $50,000 threshold for judging cost-effectiveness. Even if decision makers do not wish use the same ratio that is applied to the general population, this method allows substance abuse treatment enhancements to be compared to improvements in health services offered to individuals with substance abuse disorders. Future work will require information on the impact of methadone treatment on the cost of health care and public programs, the indirect costs incurred by patients, and adjustments to reflect quality of life.

Full employment maintenance in the private sector

NASA Technical Reports Server (NTRS)

Young, G. A.

1976-01-01

Operationally, full employment can be accomplished by applying modern computer capabilities, game and decision concepts, and communication feedback possibilities, rather than accepted economic tools, to the problem of assuring invariant full employment. The government must provide positive direction to individual firms concerning the net number of employees that each firm must hire or refrain from hiring to assure national full employment. To preserve free enterprise and the decision making power of the individual manager, this direction must be based on each private firm's own numerical employment projections.

Benefit-cost assessment of a maintenance decision support system (MDSS) implementation : the city and county of Denver.

DOT National Transportation Integrated Search

2009-12-07

The Federal Highway Administration, U.S. Department of Transportation, has established a Road Weather Management Program (RWMP) that seeks to improve the safety, mobility and productivity of the nations surface transportation modes by integrating ...

Maintenance Decision Support System, Phase III

DOT National Transportation Integrated Search

2017-09-01

The main goal of the project was to address barriers that limit NDOTs ability to implement MDSS and MMS systems. The four project tasks included: Task 1: Develop system for tracking sand and/or deicing material usage: A system that tracks where and w...

Maintenance Decision Support System: Pilot Study and Cost-Benefit Analysis (Phase 2.5)

DOT National Transportation Integrated Search

2014-07-01

This project focused on several tasks: development of in-vehicle hardware that permits implementation of an MDSS, development of software to collect and process road and weather data, a cost-benefit study, and pilot-scale implementation. Two Automati...

Bolivian Currents: Popular Participation and Indigenous Communities.

ERIC Educational Resources Information Center

Dudley, Mary Jo

1997-01-01

Describes the effects on indigenous communities of Bolivia's recent Popular Participation Laws, which relocated political and financial decision making to the municipal level; community efforts toward cultural maintenance and nonformal agricultural education; the activism of indigenous university students; and the dual discrimination suffered by…

Maintenance Decision Support System : Pilot Study and Cost-Benefit Analysis (Phase 2)

DOT National Transportation Integrated Search

2014-07-01

This project focused on several tasks: development of in-vehicle hardware that permits implementation of an MDSS, development of software to collect and process road and weather data, a cost-benefit study, and pilot-scale implementation. Two Automati...

Weighing the Contract Option.

ERIC Educational Resources Information Center

Dervarics, Charles

1993-01-01

Contracting for noneducational services is standard operating procedure in many school districts. Private contractors are involved in transportation, food service, maintenance, and even, in rare cases, instruction. Before deciding to contract out, school boards should examine improvement to school-run operations before making a final decision.…

Marijuana: Assessing the Cost.

ERIC Educational Resources Information Center

Seffrin, John R.

1980-01-01

Reviews health concerns regarding marihuana use. Offers five teaching concepts which are defensible and can serve students as they make their decisions to smoke or not to smoke marihuana. Three other critical concepts are also offered which may enhance students' enlightenment about health development and maintenance. (CS)

Use of a quality improvement tool, the prioritization matrix, to identify and prioritize triage software algorithm enhancement.

PubMed

North, Frederick; Varkey, Prathiba; Caraballo, Pedro; Vsetecka, Darlene; Bartel, Greg

2007-10-11

Complex decision support software can require significant effort in maintenance and enhancement. A quality improvement tool, the prioritization matrix, was successfully used to guide software enhancement of algorithms in a symptom assessment call center.

Development of plant condition measurement - The Jimah Model

NASA Astrophysics Data System (ADS)

Evans, Roy F.; Syuhaimi, Mohd; Mazli, Mohammad; Kamarudin, Nurliyana; Maniza Othman, Faiz

2012-05-01

The Jimah Model is an information management model. The model has been designed to facilitate analysis of machine condition by integrating diagnostic data with quantitative and qualitative information. The model treats data as a single strand of information - metaphorically a 'genome' of data. The 'Genome' is structured to be representative of plant function and identifies the condition of selected components (or genes) in each machine. To date in industry, computer aided work processes used with traditional industrial practices, have been unable to consistently deliver a standard of information suitable for holistic evaluation of machine condition and change. Significantly the reengineered site strategies necessary for implementation of this "data genome concept" have resulted in enhanced knowledge and management of plant condition. In large plant with high initial equipment cost and subsequent high maintenance costs, accurate measurement of major component condition becomes central to whole of life management and replacement decisions. A case study following implementation of the model at a major power station site in Malaysia (Jimah) shows that modeling of plant condition and wear (in real time) can be made a practical reality.

Real-time sensing of fatigue crack damage for information-based decision and control

NASA Astrophysics Data System (ADS)

Keller, Eric Evans

Information-based decision and control for structures that are subject to failure by fatigue cracking is based on the following notion: Maintenance, usage scheduling, and control parameter tuning can be optimized through real time knowledge of the current state of fatigue crack damage. Additionally, if the material properties of a mechanical structure can be identified within a smaller range, then the remaining life prediction of that structure will be substantially more accurate. Information-based decision systems can rely one physical models, estimation of material properties, exact knowledge of usage history, and sensor data to synthesize an accurate snapshot of the current state of damage and the likely remaining life of a structure under given assumed loading. The work outlined in this thesis is structured to enhance the development of information-based decision and control systems. This is achieved by constructing a test facility for laboratory experiments on real-time damage sensing. This test facility makes use of a methodology that has been formulated for fatigue crack model parameter estimation and significantly improves the quality of predictions of remaining life. Specifically, the thesis focuses on development of an on-line fatigue crack damage sensing and life prediction system that is built upon the disciplines of Systems Sciences and Mechanics of Materials. A major part of the research effort has been expended to design and fabricate a test apparatus which allows: (i) measurement and recording of statistical data for fatigue crack growth in metallic materials via different sensing techniques; and (ii) identification of stochastic model parameters for prediction of fatigue crack damage. To this end, this thesis describes the test apparatus and the associated instrumentation based on four different sensing techniques, namely, traveling optical microscopy, ultrasonic flaw detection, Alternating Current Potential Drop (ACPD), and fiber-optic extensometry-based compliance, for crack length measurements.

Generalized random sign and alert delay models for imperfect maintenance.

PubMed

Dijoux, Yann; Gaudoin, Olivier

2014-04-01

This paper considers the modelling of the process of Corrective and condition-based Preventive Maintenance, for complex repairable systems. In order to take into account the dependency between both types of maintenance and the possibility of imperfect maintenance, Generalized Competing Risks models have been introduced in "Doyen and Gaudoin (J Appl Probab 43:825-839, 2006)". In this paper, we study two classes of these models, the Generalized Random Sign and Generalized Alert Delay models. A Generalized Competing Risks model can be built as a generalization of a particular Usual Competing Risks model, either by using a virtual age framework or not. The models properties are studied and their parameterizations are discussed. Finally, simulation results and an application to real data are presented.

Adaptive Value Normalization in the Prefrontal Cortex Is Reduced by Memory Load.

PubMed

Holper, L; Van Brussel, L D; Schmidt, L; Schulthess, S; Burke, C J; Louie, K; Seifritz, E; Tobler, P N

2017-01-01

Adaptation facilitates neural representation of a wide range of diverse inputs, including reward values. Adaptive value coding typically relies on contextual information either obtained from the environment or retrieved from and maintained in memory. However, it is unknown whether having to retrieve and maintain context information modulates the brain's capacity for value adaptation. To address this issue, we measured hemodynamic responses of the prefrontal cortex (PFC) in two studies on risky decision-making. In each trial, healthy human subjects chose between a risky and a safe alternative; half of the participants had to remember the risky alternatives, whereas for the other half they were presented visually. The value of safe alternatives varied across trials. PFC responses adapted to contextual risk information, with steeper coding of safe alternative value in lower-risk contexts. Importantly, this adaptation depended on working memory load, such that response functions relating PFC activity to safe values were steeper with presented versus remembered risk. An independent second study replicated the findings of the first study and showed that similar slope reductions also arose when memory maintenance demands were increased with a secondary working memory task. Formal model comparison showed that a divisive normalization model fitted effects of both risk context and working memory demands on PFC activity better than alternative models of value adaptation, and revealed that reduced suppression of background activity was the critical parameter impairing normalization with increased memory maintenance demand. Our findings suggest that mnemonic processes can constrain normalization of neural value representations.

Maintenance action readiness assessment plan for White Oak Creek and Melton Branch Weir Stilling Pool cleanout at Oak Ridge National Laboratory

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

1995-08-01

This Readiness Assessment Plan has been prepared to document operational readiness for the following maintenance action: (1) removal of sediment from the White Oak Creek and Melton Branch Weir Stilling Pools and (2) disposal of the radiologically contaminated sediment in another location upstream of the weirs in an area previously contaminated by stream overflow from Melton Branch in Waste Area Grouping 2 (WAG) at Oak Ridge National Laboratory. This project is being performed as a maintenance action rather than an action under the Comprehensive Environmental Response, Compensation, and Liability Act because the risk to human health and environment is wellmore » below the US Environmental Protection Agency`s level of concern. The decision to proceed as a maintenance action was documented by an interim action proposed plan, which is included in the administrative record. The administrative record is available for review at the US Department of Energy Information Resource Center, 105 Broadway Avenue, Oak Ridge, Tennessee 37830.« less

Prioritization of highway maintenance functions using multi-attribute decision making with fuzzy pairwise comparison.

DOT National Transportation Integrated Search

2011-09-01

"As is the case for most of the Departments of Transportation in the U.S., the Texas Department of : Transportation has been experiencing fluctuations of budget for maintaining and preserving its highway : infrastructure over the recent years. If the...

Reducing Life-Cycle Costs.

ERIC Educational Resources Information Center

Roodvoets, David L.

2003-01-01

Presents factors to consider when determining roofing life-cycle costs, explaining that costs do not tell the whole story; discussing components that should go into the decision (cost, maintenance, energy use, and environmental costs); and concluding that important elements in reducing life-cycle costs include energy savings through increased…

Large-Diameter Sewer Rehabilitation Using a Spray-Applied Fiber-Reinforced Geopolymer Mortar

EPA Science Inventory

In order to assist the utilities in making well informed maintenance decisions, the U.S. Environmental Protection Agency (EPA) has developed an innovative technology demonstration program to evaluate technologies that have the potential to reduce costs and increase the effectiven...

Sex Equity: Factors Associated with Nontraditional Vocational Enrollments.

ERIC Educational Resources Information Center

Veres, Helen C.; And Others

1982-01-01

Information was collected from high school students and their parents, teachers, and counselors to examine factors influential in students' career and program decisions. Students were selected from general curriculum and vocational tracks, the latter including construction and maintenance trades, drafting, electronics, and cosmetology. (Author/GC)

Alaska road weather project : technical performance assessment report Fairbanks field demonstration 2013-2014.

DOT National Transportation Integrated Search

2014-02-01

The Alaska Department of Transportation and Public Facilities began implementation of a Maintenance Decision Support System in an : effort to improve snow and ice control in the Fairbanks area. As part of the project the reliability of the weather fo...

The Long Haul

ERIC Educational Resources Information Center

Erickson, Paul W.

2009-01-01

Most educational institutions have faced the decision whether to demolish, abandon or sell a facility. This article discusses how institutions can decide whether to renovate or build new. The author suggests to develop a campus- or districtwide master plan. A long-range master plan includes assessments of deferred maintenance, educational…

Public Education for Protecting Coastal Barriers.

ERIC Educational Resources Information Center

Mullins, Gary W.; Neuhauser, Hans

1991-01-01

Discussed is the idea that a more knowledgeable, participating community will make more enlightened decisions about the maintenance and use of the environment. Described is the Man and the Biosphere (MAB) Reserve Program, which involves the establishment of cooperative scientific and educational organizations. Techniques, incentives, and…

EX.MAIN. Expert System Model for Maintenance and Staff Training.

ERIC Educational Resources Information Center

Masturzi, Elio R.

EX.MAIN, a model for maintenance and staff training which combines knowledge based expert systems and computer based training, was developed jointly by the Department of Production Engineering of the University of Naples and CIRCUMVESUVIANA, the largest private railroad in Italy. It is a global model in the maintenance field which contains both…

A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures

PubMed Central

Sharif Khodaei, Zahra; Aliabadi, M.H.

2016-01-01

In this work, a multi-level decision fusion strategy is proposed which weighs the Value of Information (VoI) against the intended functions of a Structural Health Monitoring (SHM) system. This paper presents a multi-level approach for three different maintenance strategies in which the performance of the SHM systems is evaluated against its intended functions. Level 1 diagnosis results in damage existence with minimum sensors covering a large area by finding the maximum energy difference for the guided waves propagating in pristine structure and the post-impact state; Level 2 diagnosis provides damage detection and approximate localization using an approach based on Electro-Mechanical Impedance (EMI) measures, while Level 3 characterizes damage (exact location and size) in addition to its detection by utilising a Weighted Energy Arrival Method (WEAM). The proposed multi-level strategy is verified and validated experimentally by detection of Barely Visible Impact Damage (BVID) on a curved composite fuselage panel. PMID:28773910

Multi-objective group scheduling optimization integrated with preventive maintenance

NASA Astrophysics Data System (ADS)

Liao, Wenzhu; Zhang, Xiufang; Jiang, Min

2017-11-01

This article proposes a single-machine-based integration model to meet the requirements of production scheduling and preventive maintenance in group production. To describe the production for identical/similar and different jobs, this integrated model considers the learning and forgetting effects. Based on machine degradation, the deterioration effect is also considered. Moreover, perfect maintenance and minimal repair are adopted in this integrated model. The multi-objective of minimizing total completion time and maintenance cost is taken to meet the dual requirements of delivery date and cost. Finally, a genetic algorithm is developed to solve this optimization model, and the computation results demonstrate that this integrated model is effective and reliable.

Developing RCM Strategy for Hydrogen Fuel Cells Utilizing On Line E-Condition Monitoring

NASA Astrophysics Data System (ADS)

Baglee, D.; Knowles, M. J.

2012-05-01

Fuel cell vehicles are considered to be a viable solution to problems such as carbon emissions and fuel shortages for road transport. Proton Exchange Membrane (PEM) Fuel Cells are mainly used in this purpose because they can run at low temperatures and have a simple structure. Yet high maintenance costs and the inherent dangers of maintaining equipment using hydrogen are two main issues which need to be addressed. The development of appropriate and efficient strategies is currently lacking with regard to fuel cell maintenance. A Reliability Centered Maintenance (RCM) approach offers considerable benefit to the management of fuel cell maintenance since it includes an identification and consideration of the impact of critical components. Technological developments in e-maintenance systems, radio-frequency identification (RFID) and personal digital assistants (PDAs) have proven to satisfy the increasing demand for improved reliability, efficiency and safety. RFID technology is used to store and remotely retrieve electronic maintenance data in order to provide instant access to up-to-date, accurate and detailed information. The aim is to support fuel cell maintenance decisions by developing and applying a blend of leading-edge communications and sensor technology including RFID. The purpose of this paper is to review and present the state of the art in fuel cell condition monitoring and maintenance utilizing RCM and RFID technologies. Using an RCM analysis critical components and fault modes are identified. RFID tags are used to store the critical information, possible faults and their cause and effect. The relationship between causes, faults, symptoms and long term implications of fault conditions are summarized. Finally conclusions are drawn regarding suggested maintenance strategies and the optimal structure for an integrated, cost effective condition monitoring and maintenance management system.

Time optimized path-choice in the termite hunting ant Megaponera analis.

PubMed

Frank, Erik T; Hönle, Philipp O; Linsenmair, K Eduard

2018-05-10

Trail network systems among ants have received a lot of scientific attention due to their various applications in problem solving of networks. Recent studies have shown that ants select the fastest available path when facing different velocities on different substrates, rather than the shortest distance. The progress of decision-making by these ants is determined by pheromone-based maintenance of paths, which is a collective decision. However, path optimization through individual decision-making remains mostly unexplored. Here we present the first study of time-optimized path selection via individual decision-making by scout ants. Megaponera analis scouts search for termite foraging sites and lead highly organized raid columns to them. The path of the scout determines the path of the column. Through installation of artificial roads around M. analis nests we were able to influence the pathway choice of the raids. After road installation 59% of all recorded raids took place completely or partly on the road, instead of the direct, i.e. distance-optimized, path through grass from the nest to the termites. The raid velocity on the road was more than double the grass velocity, the detour thus saved 34.77±23.01% of the travel time compared to a hypothetical direct path. The pathway choice of the ants was similar to a mathematical model of least time allowing us to hypothesize the underlying mechanisms regulating the behavior. Our results highlight the importance of individual decision-making in the foraging behavior of ants and show a new procedure of pathway optimization. © 2018. Published by The Company of Biologists Ltd.

Respect for woman's decision-making in spontaneous birth: A thematic synthesis study

PubMed Central

MirzaeeRabor, Firoozeh; Mirzaee, Fattaneh; MirzaiiNajmabadi, Khadigeh; Taghipour, Ali

2016-01-01

Background: Participation of woman in decision-making processes is one of the key indicators of an appropriate relationship between a woman and the health care professionals. This study aimed to recognize the factors facilitating respect for woman's decision-making in spontaneous birth. Materials and Methods: This paper employed a meta-synthesis on articles published in four biomedical databases including MEDLINE, Web of Science, CINAHL, and Cochrane Library. All qualitative studies published after 1990 and directly or indirectly discussing the women's and the health care professional's attitudes toward respect for woman's decision-making in spontaneous birth were searched. Of 5372 citations, 95 full-text papers were considered, of which 14 satisfied the inclusion criteria. Results: In this meta-synthesis, initial codes were obtained through meticulous, line-by-line coding of the findings of the primary studies. Then, thematic synthesis was performed on the codes to search for concepts, and 20 descriptive themes were obtained in the second stage. Finally, through an inductive process, five new interpretations were obtained in the last stage of the thematic synthesis. These interpretations included confidence to health care providers, the central role of midwives in maintenance of women's dignity, childbirth as a natural phenomenon, the impact of contextual conditions, and the political and human factors affecting the delivery management and women seek place of safety for childbirth. Conclusions: Studies suggested that midwifes have a central role in maintenance of women's dignity and their experience of childbirth. PMID:27904626

10-MWe solar-thermal central-receiver pilot plant. Operating and maintenance manual

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1979-08-01

Information required to perform the initial program loading and operation of the Heliostat Array Controller (HAC) is provided. Operating activities are described as required for heliostat control. All computer console command steps, from power up to power down are described. Detailed steps are provided to wake up the system and direct heliostat beams to standby, on target, standby to stow and power down. Maintenance requirements (preventive and corrective), reparability (reparable - non-reparable decisions), spares identification, spares storage location, replacement levels, replacement location and repair location are established. Individual system breakdown block diagrams are provided for each system/assembly/subassembly. Maintenance and repairmore » description sheets are provided for each maintenance significant item. The manual provides support of the following equipment: (a) helostat assembly; (b) heliostat control assembly; and (c) maintenance and installation equipment. The safety requirements for the operating and maintenance functions are established. These procedures will assist in eliminating or controlling the accident potentials caused by human error, environment, or component malfunctions or interactions that could result in major injury or fatality to operating or visiting personnel, or damage to subsystem components or support equipment. These procedures are for normal and test operating conditions and emergency situations, and apply to all Martin Marietta Corporation, governmental, operating and visitor personnel. (LEW)« less

Optimal Maintenance Works for the Aborshada Road in the Western Region of Libya

NASA Astrophysics Data System (ADS)

Youssef, Medhat Abdelrahman; Elbasher, Abdelbary Altayb

2014-09-01

In this research, the condition of a road pavement was investigated for the Aborshada Road in the Gharian region of Libya to determine the optimal maintenance works. Previously, a simple engineering judgment was the only procedure followed by the Gharian municipal engineers for evaluating pavements and prioritizing maintenance. The surface condition of the Aborshada Road pavement was investigated using "the Pavement Condition Index (PCI)" visual technique. The pavement was inspected to survey the different distresses in each sample unit. Ninteen pavement distresses were classified according to the PCI standards (PCI for roads and parking lots became an ASTM standard in 2007 (D6433-07)). It was necessary to know the most common distresses of the Aborshada Road to provide assistance for the decision maker in his evaluation of the pavement and the optimum repair method to be selected. This study reveals the actual performance of the pavements and suggests the research required for dealing with the pavement maintenance problem in Libya, especially in the western region. The best maintenance alternative for Aborshada Road was Case No. 3 (Potholes, Long. & Trans. Cracking and Alligator Crack Maintenance). Also, the most common pavement distresses on the Aborshada Road were Distress Nos. 1, 3, 6, 7, 10 and 13 according to the ASTM - D6433-07 classification

Implementation of an agile maintenance mechanic assignment methodology

NASA Astrophysics Data System (ADS)

Jimenez, Jesus A.; Quintana, Rolando

2000-10-01

The objective of this research was to develop a decision support system (DSS) to study the impact of introducing new equipment into a medical apparel plant from a maintenance organizational structure perspective. This system will enable the company to determine if their capacity is sufficient to meet current maintenance challenges. The DSS contains two database sets that describe equipment and maintenance resource profiles. The equipment profile specifies data such as mean time to failures, mean time to repairs, and minimum mechanic skill level required to fix each machine group. Similarly, maintenance-resource profile reports information about the mechanic staff, such as number and type of certifications received, education level, and experience. The DSS will then use this information to minimize machine downtime by assigning the highest skilled mechanics to machines with higher complexity and product value. A modified version of the simplex method, the transportation problem, was used to perform the optimization. The DSS was built using the Visual Basic for Applications (VBA) language contained in the Microsoft Excel environment. A case study was developed from current existing data. The analysis consisted of forty-two machine groups and six mechanic categories with ten skill levels. Results showed that only 56% of the mechanic workforce was utilized. Thus, the company had available resources for meeting future maintenance requirements.

Product differentiation among health maintenance organizations: causes and consequences of offering open-ended products.

PubMed

Wholey, D R; Christianson, J B

1994-01-01

Open-ended products that allow an HMO enrollee to use providers who are not affiliated with the HMO have become an important component of the Clinton administration's health reform proposal, because these products maintain consumer freedom of choice of any provider. However, little is known about the consequences of offering an open-ended product from an organizational standpoint. This paper uses a theory of "spatial competition" to examine the decisions of health maintenance organizations to offer an open-ended product and the effect of offering an open-ended product on their enrollment.

Case study of first episode schizophrenia in pregnancy and postpartum.

PubMed

Kast, Kristopher A; Agarkar, Smita

2017-08-01

Patients with first-episode psychosis of peripartum onset commonly prove to have a mood-disorder diathesis; however, a proportion of cases represent first-episode schizophrenia. We present such a case and discuss the clinical relevance of recognizing this small but important population of new mothers. These patients are at considerable risk of misdiagnosis, resulting in ineffective maintenance therapy, poorer recovery of function, and development of treatment resistance. Accurate diagnosis in the peripartum period will impact treatment decisions and long-term therapy. Clinicians need to be vigilant, especially during maintenance therapy, to identify these patients and ensure appropriate antipsychotic therapy is provided.

Comprehensive analysis of statistical and model-based overlay lot disposition methods

NASA Astrophysics Data System (ADS)

Crow, David A.; Flugaur, Ken; Pellegrini, Joseph C.; Joubert, Etienne L.

2001-08-01

Overlay lot disposition algorithms in lithography occupy some of the highest leverage decision points in the microelectronic manufacturing process. In a typical large volume sub-0.18micrometers fab the lithography lot disposition decision is made about 500 times per day. Each decision will send a lot of wafers either to the next irreversible process step or back to rework in an attempt to improve unacceptable overlay performance. In the case of rework, the intention is that the reworked lot will represent better yield (and thus more value) than the original lot and that the enhanced lot value will exceed the cost of rework. Given that the estimated cost of reworking a critical-level lot is around 10,000 (based upon the opportunity cost of consuming time on a state-of-the-art DUV scanner), we are faced with the implication that the lithography lot disposition decision process impacts up to 5 million per day in decisions. That means that a 1% error rate in this decision process represents over 18 million per year lost in profit for a representative sit. Remarkably, despite this huge leverage, the lithography lot disposition decision algorithm usually receives minimal attention. In many cases, this lack of attention has resulted in the retention of sub-optimal algorithms from earlier process generations and a significant negative impact on the economic output of many high-volume manufacturing sites. An ideal lot- dispositioning algorithm would be an algorithm that results into the best economic decision being made every time - lots would only be reworked where the expected value (EV) of the reworked lot minus the expected value of the original lot exceeds the cost of the rework: EV(reworked lot)- EV(original lot)>COST(rework process) Calculating the above expected values in real-time has generally been deemed too complicated and maintenance-intensive to be practical for fab operations, so a simplified rule is typically used.

Modeling human-climate interaction

NASA Astrophysics Data System (ADS)

Jacoby, Henry D.

If policymakers and the public are to be adequately informed about the climate change threat, climate modeling needs to include components far outside its conventional boundaries. An integration of climate chemistry and meteorology, oceanography, and terrestrial biology has been achieved over the past few decades. More recently the scope of these studies has been expanded to include the human systems that influence the planet, the social and ecological consequences of potential change, and the political processes that lead to attempts at mitigation and adaptation. For example, key issues—like the relative seriousness of climate change risk, the choice of long-term goals for policy, and the analysis of today's decisions when uncertainty may be reduced tomorrow—cannot be correctly understood without joint application of the natural science of the climate system and social and behavioral science aspects of human response. Though integration efforts have made significant contributions to understanding of the climate issue, daunting intellectual and institutional barriers stand in the way of needed progress. Deciding appropriate policies will be a continuing task over the long term, however, so efforts to extend the boundaries of climate modeling and assessment merit long-term attention as well. Components of the effort include development of a variety of approaches to analysis, the maintenance of a clear a division between close-in decision support and science/policy research, and the development of funding institutions that can sustain integrated research over the long haul.

Sensitivity Study for Long Term Reliability

NASA Technical Reports Server (NTRS)

White, Allan L.

2008-01-01

This paper illustrates using Markov models to establish system and maintenance requirements for small electronic controllers where the goal is a high probability of continuous service for a long period of time. The system and maintenance items considered are quality of components, various degrees of simple redundancy, redundancy with reconfiguration, diagnostic levels, periodic maintenance, and preventive maintenance. Markov models permit a quantitative investigation with comparison and contrast. An element of special interest is the use of conditional probability to study the combination of imperfect diagnostics and periodic maintenance.

Maintenance inhaler preference, attribute importance, and satisfaction in prescribing physicians and patients with asthma, COPD, or asthma–COPD overlap syndrome consulting for routine care

PubMed Central

Ding, Bo; Small, Mark; Scheffel, Gina; Holmgren, Ulf

2018-01-01

Background In respiratory disorders, patient- and physician-perceived satisfaction with the maintenance inhaler device is an important factor driving treatment compliance and outcomes. We examine inhaler preferences in asthma and COPD from patient and physician perspectives, particularly focusing on the relative importance of individual device attributes and patient characteristics guiding inhaler choice. Materials and methods Real-world data from >7,300 patients with asthma, COPD, or asthma–COPD overlap syndrome (ACOS) consulting for routine care were derived from respiratory Disease Specific Programs conducted in Europe, USA, Japan, and China. Outcome variables included current pattern of inhaled maintenance therapy and device type, physician preference, patient-reported device attribute importance, and satisfaction. Results The most commonly prescribed inhalers for maintenance therapy of asthma, COPD, and ACOS were dry powder inhalers (62.8%–88.5% of patients) and pressurized metered dose inhalers (18.9%–35.3% of patients). One-third of physicians stated no preference for maintenance device when prescribing treatment, and less than one-third of patients reported being “extremely satisfied” with any attribute of their device. Instructions being “simple and easy to follow” was the inhaler attribute most commonly selected as important. For approximately one-third of patients across all groups, “ease of use/suitability of inhaler device” was a reason for the prescribing decision, as stated by the physician. Device characteristics were more likely to impact the prescribing decision in older patients (in asthma and COPD; P<0.01) and those with worse disease severity (in COPD; P<0.001). Conclusion A relatively high proportion of physicians had no preference for inhaler type across asthma, COPD, and ACOS. Simplicity of use was the most important inhaler attribute from a patient’s perspective. Physicians appeared to place most importance on ease of use and device suitability when selecting inhalers for older patients and those with more severe disease, particularly in COPD. PMID:29588581

Payload maintenance cost model for the space telescope

NASA Technical Reports Server (NTRS)

White, W. L.

1980-01-01

An optimum maintenance cost model for the space telescope for a fifteen year mission cycle was developed. Various documents and subsequent updates of failure rates and configurations were made. The reliability of the space telescope for one year, two and one half years, and five years were determined using the failure rates and configurations. The failure rates and configurations were also used in the maintenance simulation computer model which simulate the failure patterns for the fifteen year mission life of the space telescope. Cost algorithms associated with the maintenance options as indicated by the failure patterns were developed and integrated into the model.

Refurbishment and school buildings management in a smart building environment

NASA Astrophysics Data System (ADS)

Di Giuda, Giuseppe Martino; Villa, Valentina; Tagliabue, Lavinia Chiara; Giana, Paolo Ettore; Rinaldi, Stefano; Ciribini, Angelo Luigi Camillo

2018-05-01

Building Information Modelling is a methodology, which is able to take into account many data, both geometrical and non-geometrical, in order to evaluate at the actual condition of the asset. The project has the scope of evaluating the conditions of different school buildings, in order to develop a way to choose the best-tailored management solution to the owner. A further step is the management and planning of design solutions during the life cycle customized on monitored buildings' conditions. The research work focuses on providing a support decisions concerning the gap between the present building state laws and the current state of the existing buildings. The process will be developed in an expanded BIM environment, using sensors, which will give back the state of the consistency of the actual conditions to enable the buildings to adapt themselves in the best way into their specific constraints and boundaries. The results of the study are (i) a complete workflow to make decision and the possibility to shape the decision process on an objective through a scientific approach, (ii) evaluate the current state of the asset and (iii) manage maintenance in the lifespan. Further development will take in consideration all the aspects related to management of big data environment generated by a smart buildings system.

The road maintenance funding models in Indonesia use earmarked tax

NASA Astrophysics Data System (ADS)

Gultom, Tiopan Henry M.; Tamin, Ofyar Z.; Sjafruddin, Ade; Pradono

2017-11-01

One of the solutions to get a sustainable road maintenance fund is to separate road sector revenue from other accounts, afterward, form a specific account for road maintenance. In 2001, Antameng and the Ministry of Public Works proposed a road fund model in Indonesia. Sources of the road funds proposal was a tariff formed on the nominal total tax. The policy of road funds was proposed to finance the road network maintenance of districts and provincials. This research aims to create a policy model of road maintenance funds in Indonesia using an earmarked tax mechanism. The research method is qualitative research, with data collection techniques are triangulation. Interview methods conducted were semi-structured. Strength, Weakness, Opportunities, and Threat from every part of the models were showen on the survey format. Respondents were representative of executives who involved directly against the financing of road maintenance. Validation model conducted by a discussion panel, it was called the Focus Group Discussion (FGD). The FGD involved all selected respondents. Road maintenance financing model that most appropriately applied in Indonesia was a model of revenue source use an earmarked PBBKB, PKB and PPnBM. Revenue collection mechanism was added tariff of registered vehicle tax (PKB), Vehicle Fuel Tax (PBBKB) and the luxury vehicle sales tax (PPnBM). The funds are managed at the provincial level by a public service agency.

Selecting a dynamic simulation modeling method for health care delivery research-part 2: report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force.

PubMed

Marshall, Deborah A; Burgos-Liz, Lina; IJzerman, Maarten J; Crown, William; Padula, William V; Wong, Peter K; Pasupathy, Kalyan S; Higashi, Mitchell K; Osgood, Nathaniel D

2015-03-01

In a previous report, the ISPOR Task Force on Dynamic Simulation Modeling Applications in Health Care Delivery Research Emerging Good Practices introduced the fundamentals of dynamic simulation modeling and identified the types of health care delivery problems for which dynamic simulation modeling can be used more effectively than other modeling methods. The hierarchical relationship between the health care delivery system, providers, patients, and other stakeholders exhibits a level of complexity that ought to be captured using dynamic simulation modeling methods. As a tool to help researchers decide whether dynamic simulation modeling is an appropriate method for modeling the effects of an intervention on a health care system, we presented the System, Interactions, Multilevel, Understanding, Loops, Agents, Time, Emergence (SIMULATE) checklist consisting of eight elements. This report builds on the previous work, systematically comparing each of the three most commonly used dynamic simulation modeling methods-system dynamics, discrete-event simulation, and agent-based modeling. We review criteria for selecting the most suitable method depending on 1) the purpose-type of problem and research questions being investigated, 2) the object-scope of the model, and 3) the method to model the object to achieve the purpose. Finally, we provide guidance for emerging good practices for dynamic simulation modeling in the health sector, covering all aspects, from the engagement of decision makers in the model design through model maintenance and upkeep. We conclude by providing some recommendations about the application of these methods to add value to informed decision making, with an emphasis on stakeholder engagement, starting with the problem definition. Finally, we identify areas in which further methodological development will likely occur given the growing "volume, velocity and variety" and availability of "big data" to provide empirical evidence and techniques such as machine learning for parameter estimation in dynamic simulation models. Upon reviewing this report in addition to using the SIMULATE checklist, the readers should be able to identify whether dynamic simulation modeling methods are appropriate to address the problem at hand and to recognize the differences of these methods from those of other, more traditional modeling approaches such as Markov models and decision trees. This report provides an overview of these modeling methods and examples of health care system problems in which such methods have been useful. The primary aim of the report was to aid decisions as to whether these simulation methods are appropriate to address specific health systems problems. The report directs readers to other resources for further education on these individual modeling methods for system interventions in the emerging field of health care delivery science and implementation. Copyright © 2015. Published by Elsevier Inc.

Performance Assessment Program for the Savannah River Site Liquid Waste Facilities - 13610

DOE Office of Scientific and Technical Information (OSTI.GOV)

Rosenberger, Kent H.

2013-07-01

The Liquid Waste facilities at the U.S. Department of Energy's (DOE) Savannah River Site (SRS) are operated by Liquid Waste Operations contractor Savannah River Remediation LLC (SRR). A separate Performance Assessment (PA) is prepared to support disposal operations at the Saltstone Disposal Facility and closure evaluations for the two liquid waste tank farm facilities at SRS, F-Tank Farm and H-Tank Farm. A PA provides the technical basis and results to be used in subsequent documents to demonstrate compliance with the pertinent requirements identified in operations and closure regulatory guidance. The Saltstone Disposal Facility is subject to a State of Southmore » Carolina industrial solid waste landfill permit and the tank farms are subject to a state industrial waste water permit. The three Liquid Waste facilities are also subject to a Federal Facility Agreement approved by the State, DOE and the Environmental Protection Agency (EPA). Due to the regulatory structure, a PA is a key technical document reviewed by the DOE, the State of South Carolina and the EPA. As the waste material disposed of in the Saltstone Disposal Facility and the residual material in the closed tank farms is also subject to reclassification prior to closure via a waste determination pursuant to Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005, the U.S. Nuclear Regulatory Commission (NRC) is also a reviewing agency for the PAs. Pursuant to the Act, the NRC also has a continuing role to monitor disposal actions to assess compliance with stated performance objectives. The Liquid Waste PA program at SRS represents a continual process over the life of the disposal and closure operations. When the need for a PA or PA revision is identified, the first step is to develop a conceptual model to best represent the facility conditions. The conceptual model will include physical dimensions of the closed system, both the engineered and natural system, and modeling input parameters associated with the modeled features, both initial values (at the time of facility closure) and degradation rates/values. During the development of the PA, evaluations are conducted to reflect not only the results associated with the best available information at the time but also to evaluate potential uncertainties and sensitivities associated with the modeled system. While the PA will reflect the modeled system results from the best available information, it will also identify areas for future work to reduce overall PA uncertainties moving forward. DOE requires a PA Maintenance Program such that work continues to reduce model uncertainties, thus bolstering confidence in PA results that support regulatory decisions. This maintenance work may include new Research and Development activities or modeling as informed by previous PA results and other new information that becomes available. As new information becomes available, it is evaluated against previous PAs and appropriate actions are taken to ensure continued confidence in the regulatory decisions. Therefore, the PA program is a continual process that is not just the development of a PA but seeks to incorporate new information to reduce overall model uncertainty and provide continuing confidence in regulatory decisions. (author)« less

Keeping Up with What You Have.

ERIC Educational Resources Information Center

Krysiak, Barbara H.

1999-01-01

Numerous studies have reported the deteriorating conditions in school buildings. One of the primary causes of this national problem is lack of proper maintenance of school facilities. Outlines a comprehensive assessment and planning process to provide a district with a road map for making decisions about facility improvement. (MLF)

Vocabulary Development and Maintenance--Descriptors. ERIC Processing Manual, Section VIII (Part 1).

ERIC Educational Resources Information Center

Houston, Jim, Ed.

Comprehensive rules, guidelines, and examples are provided for use by ERIC indexers and lexicographers in developing and maintaining the "Thesaurus of ERIC Descriptors." Evaluation and decision criteria, research procedures, and inputting details for adding new Descriptors are documented. Instructions for modifying existing Thesaurus…

17 CFR 1.16 - Qualifications and reports of accountants.

Code of Federal Regulations, 2013 CFR

2013-04-01

... registrant (i) in which, during the period of his professional engagement to examine the financial statements... interest, or (ii) with which, during the period of his professional engagement to examine the financial... responsibility for maintenance of the accounting records, including accounting classification decisions, of such...

17 CFR 1.16 - Qualifications and reports of accountants.

Code of Federal Regulations, 2012 CFR

2012-04-01

... registrant (i) in which, during the period of his professional engagement to examine the financial statements... interest, or (ii) with which, during the period of his professional engagement to examine the financial... responsibility for maintenance of the accounting records, including accounting classification decisions, of such...

The Camp Caretaker: A Hidden Treasure.

ERIC Educational Resources Information Center

Ezersky, Eugene M.

1996-01-01

At a round-table discussion, five camp caretakers identified common camp maintenance problems. Snow loads, wooden floors, storage of lake equipment, removal of grass cuttings and leaves, local suppliers, vandalism and trespassing, swimming pools, assigning work, use of outside contractors, decisions to replace or repair, job satisfaction, and…

An Analysis of the Waste Water Treatment Operator Occupation.

ERIC Educational Resources Information Center

Clark, Anthony B.; And Others

The occupational analysis contains a brief job description for the waste water treatment occupations of operator and maintenance mechanic and 13 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety considerations/hazards, decisions, cues, and errors) and learning skills…

Guidelines for Child Custody Evaluations in Family Law Proceedings

ERIC Educational Resources Information Center

American Psychologist, 2010

2010-01-01

Family law proceedings encompass a broad range of issues, including custody, maintenance, support, valuation, visitation, relocation, and termination of parental rights. The following guidelines address what are commonly termed child custody evaluations, involving disputes over decision making, caretaking, and access in the wake of marital or…

Considerations for the implementation and operation of stormwater control measure (SCM) performance monitoring systems

EPA Science Inventory

Green infrastructure (GI) studies are needed to make informed decisions about whether or not to select GI technologies over traditional urban drainage control methods and to assist in the timing of effective maintenance. Two permeable pavement infiltration stormwater control meas...

Developing Local Community Leaders.

ERIC Educational Resources Information Center

Dyer, Delwyn A.; Williams, Oscar M.

The successful development of local leaders is the goal of leadership training and community development. Development involves defining and developing leadership. Although leader-centered leadership offers few chances of meeting the maintenance needs of the group as a whole, shared leadership allows the group to join in the decision-making…

Understanding the decision-making process for drivers faced with lane restrictions or closures on Wisconsin highways.

DOT National Transportation Integrated Search

2013-02-01

The Wisconsin Department of Transportation (WisDOT) owns and operates a state highway network of 12,000 miles, which carries approximately 80 percent of vehicle miles traveled in the state. Construction, maintenance, weather and other events often le...

Maintenance of an Adequate Dental Hygiene Education System.

ERIC Educational Resources Information Center

Ley, Eugene; And Others

1984-01-01

Administrative decisions about the future of dental hygiene programs are often based on inadequate information about employment trends and about the importance of the dental hygienist in dental practices. Studies indicate that demand for dental hygiene services will remain high in the 1980s. (Author/MLW)

Enhancement of LEEDS Decision Tools for E-Craft

DTIC Science & Technology

2012-03-13

software tool was conducted to determine how to best incorporate RCM into the FMEA process already a part of LEEDS. Plans were made to enhance the...as opposed to implementing a strictly scheduled and costly equipment maintenance program. Utilizing the FMEA process already a part of LEEDS

The cost-effectiveness of immediate treatment or watch and wait with deferred chemotherapy for advanced asymptomatic follicular lymphoma.

PubMed

Prettyjohns, Matthew; Hoskin, Peter; McNamara, Christopher; Linch, David

2018-01-01

Recent evidence has shown that immediate treatment with rituximab induction, with and without maintenance, substantially reduces the need for further treatment in patients with advanced asymptomatic follicular lymphoma. This analysis estimates the cost-effectiveness of immediate treatment approaches in comparison to a watch and wait approach from the perspective of the UK National Health Service. A Markov decision model was developed to estimate the cost-effectiveness of treatment strategies in patients with asymptomatic follicular lymphoma. The model was populated using effectiveness data from a systematic literature review with the key clinical data sourced from a randomised trial, in which the treatment strategies were compared. Costs were estimated using UK national sources. In comparison to watchful waiting, both rituximab strategies were found to be more effective and cost saving. In comparison to rituximab induction, the addition of rituximab maintenance marginally increased effectiveness but substantially increased costs, resulting in an incremental cost-effectiveness ratio (ICER) of £69 406 per quality-adjusted life year (QALY). In probabilistic sensitivity analysis, rituximab induction was found to have a 68% probability of being cost-effective at a threshold of £20 000 per QALY. In conclusion, active treatment with rituximab induction is a cost-effective strategy to adopt in patients with asymptomatic follicular lymphoma. © 2017 John Wiley & Sons Ltd.

Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems

PubMed Central

DesAutels, Spencer J.; Fox, Zachary E.; Giuse, Dario A.; Williams, Annette M.; Kou, Qing-hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

2016-01-01

Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems. PMID:28269846

Expert systems for automated maintenance of a Mars oxygen production system

NASA Astrophysics Data System (ADS)

Huang, Jen-Kuang; Ho, Ming-Tsang; Ash, Robert L.

1992-08-01

Application of expert system concepts to a breadboard Mars oxygen processor unit have been studied and tested. The research was directed toward developing the methodology required to enable autonomous operation and control of these simple chemical processors at Mars. Failure detection and isolation was the key area of concern, and schemes using forward chaining, backward chaining, knowledge-based expert systems, and rule-based expert systems were examined. Tests and simulations were conducted that investigated self-health checkout, emergency shutdown, and fault detection, in addition to normal control activities. A dynamic system model was developed using the Bond-Graph technique. The dynamic model agreed well with tests involving sudden reductions in throughput. However, nonlinear effects were observed during tests that incorporated step function increases in flow variables. Computer simulations and experiments have demonstrated the feasibility of expert systems utilizing rule-based diagnosis and decision-making algorithms.

Offshore Wind Guidance Document: Oceanography and Sediment Stability (Version 1) Development of a Conceptual Site Model.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Roberts, Jesse D.; Jason Magalen; Craig Jones

This guidance document provide s the reader with an overview of the key environmental considerations for a typical offshore wind coastal location and the tools to help guide the reader through a thoro ugh planning process. It will enable readers to identify the key coastal processes relevant to their offshore wind site and perform pertinent analysis to guide siting and layout design, with the goal of minimizing costs associated with planning, permitting , and long - ter m maintenance. The document highlight s site characterization and assessment techniques for evaluating spatial patterns of sediment dynamics in the vicinity of amore » wind farm under typical, extreme, and storm conditions. Finally, the document des cribe s the assimilation of all of this information into the conceptual site model (CSM) to aid the decision - making processes.« less

Urban photogrammetric data base for multi-purpose cadastral-based information systems: the Riyadh city case

NASA Astrophysics Data System (ADS)

Al-garni, Abdullah M.

Urban information systems are economic resources that can benefit decision makers in the planning, development, and management of urban projects and resources. In this research, a conceptual model-based prototype Urban Geographic Information System (UGIS) is developed. The base maps used in developing the system and acquiring visual attributes are obtained from aerial photographs. The system is a multi-purpose parcel-based one that can serve many urban applications such as public utilities, health centres, schools, population estimation, road engineering and maintenance, and many others. A modern region in the capital city of Saudi Arabia is used for the study. The developed model is operational for one urban application (population estimation) and is tested for that particular application. The results showed that the system has a satisfactory accuracy and that it may well be promising for other similar urban applications in countries with similar demographic and social characteristics.

Prefrontal cortical BDNF: A regulatory key in cocaine- and food-reinforced behaviors

PubMed Central

Pitts, Elizabeth G.; Taylor, Jane R.; Gourley, Shannon L.

2016-01-01

Brain-derived neurotrophic factor (BDNF) affects synaptic plasticity and neural structure and plays key roles in learning and memory processes. Recent evidence also points to important, yet complex, roles for BDNF in rodent models of cocaine abuse and addiction. Here we examine the role of prefrontal cortical (PFC) BDNF in reward-related decision making and behavioral sensitivity to, and responding for, cocaine. We focus on BDNF within the medial and orbital PFC, its regulation by cocaine during early postnatal development and in adulthood, and how BDNF in turn influences responding for drug reinforcement, including in reinstatement models. When relevant, we draw comparisons and contrasts with experiments using natural (food) reinforcers. We also summarize findings supporting, or refuting, the possibility that BDNF in the medial and orbital PFC regulate the development and maintenance of stimulus-response habits. Further investigation could assist in the development of novel treatment approaches for cocaine use disorders. PMID:26923993

Risk-based cost-benefit analysis for evaluating microbial risk mitigation in a drinking water system.

PubMed

Bergion, Viktor; Lindhe, Andreas; Sokolova, Ekaterina; Rosén, Lars

2018-04-01

Waterborne outbreaks of gastrointestinal diseases can cause large costs to society. Risk management needs to be holistic and transparent in order to reduce these risks in an effective manner. Microbial risk mitigation measures in a drinking water system were investigated using a novel approach combining probabilistic risk assessment and cost-benefit analysis. Lake Vomb in Sweden was used to exemplify and illustrate the risk-based decision model. Four mitigation alternatives were compared, where the first three alternatives, A1-A3, represented connecting 25, 50 and 75%, respectively, of on-site wastewater treatment systems in the catchment to the municipal wastewater treatment plant. The fourth alternative, A4, represented installing a UV-disinfection unit in the drinking water treatment plant. Quantitative microbial risk assessment was used to estimate the positive health effects in terms of quality adjusted life years (QALYs), resulting from the four mitigation alternatives. The health benefits were monetised using a unit cost per QALY. For each mitigation alternative, the net present value of health and environmental benefits and investment, maintenance and running costs was calculated. The results showed that only A4 can reduce the risk (probability of infection) below the World Health Organization guidelines of 10 -4 infections per person per year (looking at the 95th percentile). Furthermore, all alternatives resulted in a negative net present value. However, the net present value would be positive (looking at the 50 th percentile using a 1% discount rate) if non-monetised benefits (e.g. increased property value divided evenly over the studied time horizon and reduced microbial risks posed to animals), estimated at 800-1200 SEK (€100-150) per connected on-site wastewater treatment system per year, were included. This risk-based decision model creates a robust and transparent decision support tool. It is flexible enough to be tailored and applied to local settings of drinking water systems. The model provides a clear and holistic structure for decisions related to microbial risk mitigation. To improve the decision model, we suggest to further develop the valuation and monetisation of health effects and to refine the propagation of uncertainties and variabilities between the included methods. Copyright © 2018 Elsevier Ltd. All rights reserved.

Projecting the impact of a nationwide school plain water access intervention on childhood obesity: a cost-benefit analysis.

PubMed

An, R; Xue, H; Wang, L; Wang, Y

2017-09-22

This study aimed to project the societal cost and benefit of an expansion of a water access intervention that promotes lunchtime plain water consumption by placing water dispensers in New York school cafeterias to all schools nationwide. A decision model was constructed to simulate two events under Markov chain processes - placing water dispensers at lunchtimes in school cafeterias nationwide vs. no action. The incremental cost pertained to water dispenser purchase and maintenance, whereas the incremental benefit was resulted from cases of childhood overweight/obesity prevented and corresponding lifetime direct (medical) and indirect costs saved. Based on the decision model, the estimated incremental cost of the school-based water access intervention is $18 per student, and the corresponding incremental benefit is $192, resulting in a net benefit of $174 per student. Subgroup analysis estimates the net benefit per student to be $199 and $149 among boys and girls, respectively. Nationwide adoption of the intervention would prevent 0.57 million cases of childhood overweight, resulting in a lifetime cost saving totalling $13.1 billion. The estimated total cost saved per dollar spent was $14.5. The New York school-based water access intervention, if adopted nationwide, may have a considerably favourable benefit-cost portfolio. © 2017 World Obesity Federation.

DOE Office of Scientific and Technical Information (OSTI.GOV)

The ECE application forecasts annual costs of preventive and corrective maintenance for budgeting purposes. Features within the application enable the user to change the specifications of the model to customize your forecast to best fit their needs and support “what if” analysis. Based on the user's selections, the ECE model forecasts annual maintenance costs. Preventive maintenance costs include the cost of labor to perform preventive maintenance activities at the specific frequency and labor rate. Corrective maintenance costs include the cost of labor and the cost of replacement parts. The application presents forecasted maintenance costs for the next five years inmore » two tables: costs by year and costs by site.« less

The Huaihe Basin Water Resource and Water Quality Management Platform Implemented with a Spatio-Temporal Data Model

NASA Astrophysics Data System (ADS)

Liu, Y.; Zhang, W.; Yan, C.

2012-07-01

Presently, planning and assessment in maintenance, renewal and decision-making for watershed hydrology, water resource management and water quality assessment are evolving toward complex, spatially explicit regional environmental assessments. These problems have to be addressed with object-oriented spatio-temporal data models that can restore, manage, query and visualize various historic and updated basic information concerning with watershed hydrology, water resource management and water quality as well as compute and evaluate the watershed environmental conditions so as to provide online forecasting to police-makers and relevant authorities for supporting decision-making. The extensive data requirements and the difficult task of building input parameter files, however, has long been an obstacle to use of such complex models timely and effectively by resource managers. Success depends on an integrated approach that brings together scientific, education and training advances made across many individual disciplines and modified to fit the needs of the individuals and groups who must write, implement, evaluate, and adjust their watershed management plans. The centre for Hydro-science Research, Nanjing University, in cooperation with the relevant watershed management authorities, has developed a WebGIS management platform to facilitate this complex process. Improve the management of watersheds over the Huaihe basin through the development, promotion and use of a web-based, user-friendly, geospatial watershed management data and decision support system (WMDDSS) involved many difficulties for the development of this complicated System. In terms of the spatial and temporal characteristics of historic and currently available information on meteorological, hydrological, geographical, environmental and other relevant disciplines, we designed an object-oriented spatiotemporal data model that combines spatial, attribute and temporal information to implement the management system. Using this system, we can update, query and analyze environmental information as well as manage historical data, and a visualization tool was provided to help the user interpret results so as to provide scientific support for decision-making. The utility of the system has been demonstrated its values by being used in watershed management and environmental assessments.

Biological therapies in Crohn's disease: are they cost-effective? A critical appraisal of model-based analyses.

PubMed

Marchetti, Monia; Liberato, Nicola Lucio

2014-12-01

In refractory Crohn's disease, anti-TNF and anti-α 4 integrin agents are used for ameliorating disease activity but impose high costs to health-care systems. The authors systematically reviewed cost-effectiveness analyses based on decision models: most of the studies were judged to have a good quality, but a large portion assessed health and costs in a short time horizon, usually disregarding fistulizing disease and not considering safety. Infliximab induction followed by on-demand retreatment consistently proved to have a good cost per quality-adjusted life year, while maintenance treatment never satisfied commonly accepted cost-utility thresholds. Challenges in cost-effectiveness analysis include the lack of a standard model structure, a large variability in the costs of surgery and poor data on indirect costs. As clinical practice is moving to mucosal healing as a robust response marker, personalized schedules of anti-TNF therapies might prove cost-effective even in the perspective of the health-care system in the near future.

76 FR 59121 - Notice of Availability of the Record of Decision for the Final Environmental Impact Statement...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-23

... lined open channels; grade control structures; bridges and drainage crossings; building pads; and water quality control facilities (sedimentation control, flood control, debris, and water quality basins). The... facilities (sedimentation control, flood debris, and water quality basins); regular and ongoing maintenance...

Specification of Training Simulator Fidelity: A Research Plan. Technical Report 558.

ERIC Educational Resources Information Center

Baum, David R.; And Others

This report presents a research plan to guide the determination of the empirical relationship between level of maintenance training simulator fidelity and training effectiveness. Chapter I describes data collection and analysis activities undertaken to provide guidance for fidelity decision making by the training simulator development community.…

Disciplining Students for "Indecent" Speech.

ERIC Educational Resources Information Center

Cromartie, Martha

1987-01-01

Reviews the implications of the Supreme Court decision in "Bethel School District No. 403 v. Fraser." Schools must still comply with First Amendment and may not restrict student speech without valid reason. The maintenance of school order and the protection of rights of others are valid reasons. Speech is not immunized by the…

7 CFR 1484.21 - How does FAS determine which Cooperator program applications are approved?

Code of Federal Regulations, 2013 CFR

2013-01-01

... FOREIGN MARKETS FOR AGRICULTURAL COMMODITIES Application and Fund Allocation § 1484.21 How does FAS... that effectively supports the strategic decision-making initiatives of the Government Performance and... creation, expansion, or maintenance of foreign markets, FAS seeks to identify those projects that would...

7 CFR 1484.21 - How does FAS determine which Cooperator program applications are approved?

Code of Federal Regulations, 2011 CFR

2011-01-01

... PROGRAMS TO HELP DEVELOP FOREIGN MARKETS FOR AGRICULTURAL COMMODITIES Application and Fund Allocation... allocates funds in a manner that effectively supports the strategic decision-making initiatives of the... to the effective creation, expansion, or maintenance of foreign markets, FAS seeks to identify those...

7 CFR 1484.21 - How does FAS determine which Cooperator program applications are approved?

Code of Federal Regulations, 2012 CFR

2012-01-01

... FOREIGN MARKETS FOR AGRICULTURAL COMMODITIES Application and Fund Allocation § 1484.21 How does FAS... that effectively supports the strategic decision-making initiatives of the Government Performance and... creation, expansion, or maintenance of foreign markets, FAS seeks to identify those projects that would...

7 CFR 1484.21 - How does FAS determine which Cooperator program applications are approved?

Code of Federal Regulations, 2014 CFR

2014-01-01

... FOREIGN MARKETS FOR AGRICULTURAL COMMODITIES Application and Fund Allocation § 1484.21 How does FAS... that effectively supports the strategic decision-making initiatives of the Government Performance and... creation, expansion, or maintenance of foreign markets, FAS seeks to identify those projects that would...

7 CFR 1484.21 - How does FAS determine which Cooperator program applications are approved?

Code of Federal Regulations, 2010 CFR

2010-01-01

... PROGRAMS TO HELP DEVELOP FOREIGN MARKETS FOR AGRICULTURAL COMMODITIES Application and Fund Allocation... allocates funds in a manner that effectively supports the strategic decision-making initiatives of the... to the effective creation, expansion, or maintenance of foreign markets, FAS seeks to identify those...

Comprehensive field evaluation of asphalt patching methods and development of simple decision trees and a best practices manual.

DOT National Transportation Integrated Search

2017-06-01

The long-term performance of pothole patches largely depends on the selection of the patching method. A number of pothole patching methods are in practice in Minnesota and other nearby states. However, pavement maintenance crews often encounter probl...

Fire disturbance effects in subalpine forests of north central Washington.

Treesearch

R. Schellhaas; D. Spurbeck; P. Ohlson; et al.

2001-01-01

Assessment of the historical disturbance effects across landscapes can provide an important foundation for land management decisions aimed at ecosystem restoration and maintenance. There have been numerous investigations regarding the historic disturbance patterns and resulting stand characteristics in low-elevation, dry forests of the inland west (Arno 1995, Everett...

Going beyond Green: The "Why and How" of Integrating Sustainability into the Marketing Curriculum

ERIC Educational Resources Information Center

Bridges, Claudia M.; Wilhelm, Wendy Bryce

2008-01-01

Teaching sustainable marketing practices requires that curricula advocate a "triple bottom line" approach to personal and marketing decision making, emphasizing requirements for a sustainable lifestyle, company, economy, and society. These requirements include environmental/ecological stewardship (maintenance and renewal of "natural capital"),…

23 CFR 972.212 - Federal lands safety management system (SMS).

Code of Federal Regulations, 2010 CFR

2010-04-01

... functional classification to provide adequate information for use in making safety decisions in the RR... NHTSA, May 1996, may be obtained at the FHWA, Office of Safety, 1200 New Jersey Avenue, SE., Washington..., design, construction, maintenance, and operations. (d) The SMS may be utilized at various levels of...

76 FR 16793 - Medicare and Medicaid Programs; Renewal of Deeming Authority of the National Committee for...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-25

... Assurance for Medicare Advantage Health Maintenance Organizations and Local Preferred Provider Organizations... notice announces the decision to renew the Medicare Advantage Deeming Authority of the National Committee... Medicare program, eligible beneficiaries may receive covered services through a Medicare Advantage (MA...

Predicting fire-based perennial bunchgrass mortality in low elevation big sagebrush plant communities

USDA-ARS?s Scientific Manuscript database

Maintenance and post-fire rehabilitation of perennial bunchgrasses is important for reducing the spread of annual grass species in low elevation big sagebrush plant communities. Post-fire rehabilitation decisions are hampered by a lack of tools for determining extent of fire-induced perennial grass...

Ethical Decision Making, Therapeutic Boundaries, and Communicating Using Online Technology and Cellular Phones

ERIC Educational Resources Information Center

Yonan, Jesay; Bardick, Angela D.; Willment, Jo-Anne H.

2011-01-01

Cellular telephones and social networking sites pose new challenges to the maintenance of therapeutic boundaries. One such difficulty is the possible development of dual relationships between clients and counselling professionals as a result of communicating by these means. Most regulatory bodies advise professional counsellors and psychologists…

Selecting statistical model and optimum maintenance policy: a case study of hydraulic pump.

PubMed

Ruhi, S; Karim, M R

2016-01-01

Proper maintenance policy can play a vital role for effective investigation of product reliability. Every engineered object such as product, plant or infrastructure needs preventive and corrective maintenance. In this paper we look at a real case study. It deals with the maintenance of hydraulic pumps used in excavators by a mining company. We obtain the data that the owner had collected and carry out an analysis and building models for pump failures. The data consist of both failure and censored lifetimes of the hydraulic pump. Different competitive mixture models are applied to analyze a set of maintenance data of a hydraulic pump. Various characteristics of the mixture models, such as the cumulative distribution function, reliability function, mean time to failure, etc. are estimated to assess the reliability of the pump. Akaike Information Criterion, adjusted Anderson-Darling test statistic, Kolmogrov-Smirnov test statistic and root mean square error are considered to select the suitable models among a set of competitive models. The maximum likelihood estimation method via the EM algorithm is applied mainly for estimating the parameters of the models and reliability related quantities. In this study, it is found that a threefold mixture model (Weibull-Normal-Exponential) fits well for the hydraulic pump failures data set. This paper also illustrates how a suitable statistical model can be applied to estimate the optimum maintenance period at a minimum cost of a hydraulic pump.

Complexity science and participation in decision making among Taiwanese nurses.

PubMed

Liu, Yi

2008-04-01

The perspective of interconnection in complexity science is used to examine the concept of participation in decision making among Taiwanese nurses in the context of Chinese communication culture. Participation in decision making among nurses has been widely discussed and tested in the Western healthcare systems. Many studies have shown that participation in decision making relates to nurses' autonomy, job satisfaction and quality of care. However, participation in decision making has not been fully discussed in Taiwan's nursing community. In a different cultural environment, participation in decision making may have different effects. The concept of participation in decision making is analysed in three facets of Chinese communication culture: (1) hierarchical social relationship; (2) harmony maintenance; and (3) insider effects. Key issues Taiwanese nurses might establish different levels of participation and need to use different strategies to enhance participation in decision making for desired outcomes. While applying participation in decision making in a different context, it is very important to consider the social and cultural differences. Two implications are made. First, nursing leaders/managers who are working with a multicultural team should be aware of the cultural difference in the pattern of interaction in the process of participation in decision making. Second, leaders/managers should be creative and try to apply different strategies to encourage staff's participation in decision making.

Cost-effectiveness analysis of treatment alternatives for beef bulls with preputial prolapse.

PubMed

Kasari, T R; McGrann, J M; Hooper, R N

1997-10-01

To develop an economic model for comparing cost-effectiveness of medical and surgical treatment versus replacement of beef bulls with preputial prolapse. Economic analysis. Estimates determined from medical records of bulls treated for preputial prolapse at our hospital and from information about treatment of bulls published elsewhere. Annual depreciation cost for treatment (ADC(T)) and replacement (ADC(R)) were calculated. Total investment for an injured bull equaled the sum of salvage value, maintenance cost, and expected cost of the treatment option under consideration. Total investment for a replacement bull was purchase price. Net present value of cost was calculated for each year of bull use. Sensitivity analyses were constructed to determine the value that would warrant treatment of an injured bull. The decision to treat was indicated when ADC(T) was less than ADC(R). In our example, it was more cost-effective for owners to cull an injured bull. The ADC(R) was $97 less than ADC(T) for medical treatment ($365 vs $462) and $280 less than ADC(T) for surgical treatment ($365 vs $645). Likewise, net present value of cost values indicated that it was more cost-effective for owners to cull an injured bull. Sensitivity analysis indicated treatment decisions were justified on the basis of replacement value or planned number of breeding seasons remaining for the bull. The model described here can be used by practitioners to provide an objective basis to guide decision making of owners who seek advice on whether to treat or replace bulls with preputial prolapse.

Cost-Effectiveness of a Clinical Childhood Obesity Intervention.

PubMed

Sharifi, Mona; Franz, Calvin; Horan, Christine M; Giles, Catherine M; Long, Michael W; Ward, Zachary J; Resch, Stephen C; Marshall, Richard; Gortmaker, Steven L; Taveras, Elsie M

2017-11-01

To estimate the cost-effectiveness and population impact of the national implementation of the Study of Technology to Accelerate Research (STAR) intervention for childhood obesity. In the STAR cluster-randomized trial, 6- to 12-year-old children with obesity seen at pediatric practices with electronic health record (EHR)-based decision support for primary care providers and self-guided behavior-change support for parents had significantly smaller increases in BMI than children who received usual care. We used a microsimulation model of a national implementation of STAR from 2015 to 2025 among all pediatric primary care providers in the United States with fully functional EHRs to estimate cost, impact on obesity prevalence, and cost-effectiveness. The expected population reach of a 10-year national implementation is ∼2 million children, with intervention costs of $119 per child and $237 per BMI unit reduced. At 10 years, assuming maintenance of effect, the intervention is expected to avert 43 000 cases and 226 000 life-years with obesity at a net cost of $4085 per case and $774 per life-year with obesity averted. Limiting implementation to large practices and using higher estimates of EHR adoption improved both cost-effectiveness and reach, whereas decreasing the maintenance of the intervention's effect worsened the former. A childhood obesity intervention with electronic decision support for clinicians and self-guided behavior-change support for parents may be more cost-effective than previous clinical interventions. Effective and efficient interventions that target children with obesity are necessary and could work in synergy with population-level prevention strategies to accelerate progress in reducing obesity prevalence. Copyright © 2017 by the American Academy of Pediatrics.

76 FR 67633 - Airworthiness Directives; Dassault Aviation Model Mystere-Falcon 50 Airplanes

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-02

...) of section 5-10 of the Recommended Maintenance Schedules chapter of the Aircraft Maintenance...) of section 5-10 of the Recommended Maintenance Schedules chapter of the Aircraft Maintenance... Dassault Falcon 50/ 50EX Maintenance Procedure 57-607, Non-Destructive Check of Flap Tracks 2 and 5, of...

Maintaining close relationships: gratitude as a motivator and a detector of maintenance behavior.

PubMed

Kubacka, Kaska E; Finkenauer, Catrin; Rusbult, Caryl E; Keijsers, Loes

2011-10-01

This research examined the dual function of gratitude for relationship maintenance in close relationships. In a longitudinal study among married couples, the authors tested the dyadic effects of gratitude over three time points for approximately 4 years following marriage. They found that feelings of gratitude toward a partner stem from the partner's relationship maintenance behaviors, partly because such behaviors create the perception of responsiveness to one's needs. In turn, gratitude motivates partners to engage in relationship maintenance. Hence, the present model emphasizes that gratitude between close partners (a) originates from partners' relationship maintenance behaviors and the perception of a partner's responsiveness and (b) promotes a partner's reciprocal maintenance behaviors. Thus, the authors' findings add credence to their model, in that gratitude contributes to a reciprocal process of relationship maintenance, whereby each partner's maintenance behaviors, perceptions of responsiveness, and feelings of gratitude feed back on and influence the other's behaviors, perceptions, and feelings.

Bottom to Top Approach for Railway KPI Generation

NASA Astrophysics Data System (ADS)

Villarejo, Roberto; Johansson, Carl-Anders; Leturiondo, Urko; Simon, Victor; Seneviratne, Dammika; Galar, Diego

2017-09-01

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure's condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

Understanding and Predicting the Process of Software Maintenance Releases

NASA Technical Reports Server (NTRS)

Basili, Victor; Briand, Lionel; Condon, Steven; Kim, Yong-Mi; Melo, Walcelio L.; Valett, Jon D.

1996-01-01

One of the major concerns of any maintenance organization is to understand and estimate the cost of maintenance releases of software systems. Planning the next release so as to maximize the increase in functionality and the improvement in quality are vital to successful maintenance management. The objective of this paper is to present the results of a case study in which an incremental approach was used to better understand the effort distribution of releases and build a predictive effort model for software maintenance releases. This study was conducted in the Flight Dynamics Division (FDD) of NASA Goddard Space Flight Center(GSFC). This paper presents three main results: 1) a predictive effort model developed for the FDD's software maintenance release process; 2) measurement-based lessons learned about the maintenance process in the FDD; and 3) a set of lessons learned about the establishment of a measurement-based software maintenance improvement program. In addition, this study provides insights and guidelines for obtaining similar results in other maintenance organizations.

Elements of an integrated health monitoring framework

NASA Astrophysics Data System (ADS)

Fraser, Michael; Elgamal, Ahmed; Conte, Joel P.; Masri, Sami; Fountain, Tony; Gupta, Amarnath; Trivedi, Mohan; El Zarki, Magda

2003-07-01

Internet technologies are increasingly facilitating real-time monitoring of Bridges and Highways. The advances in wireless communications for instance, are allowing practical deployments for large extended systems. Sensor data, including video signals, can be used for long-term condition assessment, traffic-load regulation, emergency response, and seismic safety applications. Computer-based automated signal-analysis algorithms routinely process the incoming data and determine anomalies based on pre-defined response thresholds and more involved signal analysis techniques. Upon authentication, appropriate action may be authorized for maintenance, early warning, and/or emergency response. In such a strategy, data from thousands of sensors can be analyzed with near real-time and long-term assessment and decision-making implications. Addressing the above, a flexible and scalable (e.g., for an entire Highway system, or portfolio of Networked Civil Infrastructure) software architecture/framework is being developed and implemented. This framework will network and integrate real-time heterogeneous sensor data, database and archiving systems, computer vision, data analysis and interpretation, physics-based numerical simulation of complex structural systems, visualization, reliability & risk analysis, and rational statistical decision-making procedures. Thus, within this framework, data is converted into information, information into knowledge, and knowledge into decision at the end of the pipeline. Such a decision-support system contributes to the vitality of our economy, as rehabilitation, renewal, replacement, and/or maintenance of this infrastructure are estimated to require expenditures in the Trillion-dollar range nationwide, including issues of Homeland security and natural disaster mitigation. A pilot website (http://bridge.ucsd.edu/compositedeck.html) currently depicts some basic elements of the envisioned integrated health monitoring analysis framework.

Standardization of quality control plans for highway bridges in Europe: COST Action TU 1406

NASA Astrophysics Data System (ADS)

Casas, Joan R.; Matos, Jose Campos e.

2017-09-01

In Europe, as all over the world, the need to manage roadway bridges in an efficient way led to the development of different management systems. Hence, nowadays, many European countries have their own system. Although they present a similar architectural framework, several differences can be appointed. These differences constitute a divergent mechanism that may conduct to different decisions on maintenance actions. Within the roadway bridge management process, the identification of maintenance needs is more effective when developed in a uniform and repeatable manner. This process can be accomplished by the identification of performance indicators and definition of performance goals and key performance indicators (KPI), improving the planning of maintenance strategies. Therefore, a discussion at a European level, seeking to achieve a standardized approach in this subject, will bring significant benefits. Accordingly, a COST Action is under way in Europe with the aim of standardizing the establishment of quality control plans for roadway bridges.

Two-machine flow shop scheduling integrated with preventive maintenance planning

NASA Astrophysics Data System (ADS)

Wang, Shijin; Liu, Ming

2016-02-01

This paper investigates an integrated optimisation problem of production scheduling and preventive maintenance (PM) in a two-machine flow shop with time to failure of each machine subject to a Weibull probability distribution. The objective is to find the optimal job sequence and the optimal PM decisions before each job such that the expected makespan is minimised. To investigate the value of integrated scheduling solution, computational experiments on small-scale problems with different configurations are conducted with total enumeration method, and the results are compared with those of scheduling without maintenance but with machine degradation, and individual job scheduling combined with independent PM planning. Then, for large-scale problems, four genetic algorithm (GA) based heuristics are proposed. The numerical results with several large problem sizes and different configurations indicate the potential benefits of integrated scheduling solution and the results also show that proposed GA-based heuristics are efficient for the integrated problem.

Intelligent Work Process Engineering System

NASA Technical Reports Server (NTRS)

Williams, Kent E.

2003-01-01

Optimizing performance on work activities and processes requires metrics of performance for management to monitor and analyze in order to support further improvements in efficiency, effectiveness, safety, reliability and cost. Information systems are therefore required to assist management in making timely, informed decisions regarding these work processes and activities. Currently information systems regarding Space Shuttle maintenance and servicing do not exist to make such timely decisions. The work to be presented details a system which incorporates various automated and intelligent processes and analysis tools to capture organize and analyze work process related data, to make the necessary decisions to meet KSC organizational goals. The advantages and disadvantages of design alternatives to the development of such a system will be discussed including technologies, which would need to bedesigned, prototyped and evaluated.

Development of integrated surveillance systems for the management of tuberculosis in New Zealand wildlife.

PubMed

Anderson, D P; Ramsey, D S L; de Lisle, G W; Bosson, M; Cross, M L; Nugent, G

2015-06-01

Disease surveillance for the management of bovine tuberculosis (TB) in New Zealand has focussed, to a large extent, on the development of tools specific for monitoring Mycobacterium bovis infection in wildlife. Diagnostic techniques have been modified progressively over 30 years of surveillance of TB in wildlife, from initial characterisation of gross TB lesions in a variety of wildlife, through development of sensitive culture techniques to identify viable mycobacteria, to molecular identification of individual M. bovis strains. Of key importance in disease surveillance has been the elucidation of the roles that different wildlife species play in the transmission of infection, specifically defining brushtail possums (Trichosurus vulpecula) as true maintenance hosts compared to those that are predominantly spillover hosts, but which may serve as useful sentinel species to indicate TB persistence. Epidemiological modelling has played a major role in TB surveillance, initially providing the theoretical support for large-scale possum population control and setting targets at which control effort should be deployed to ensure disease eradication. As TB prevalence in livestock and wildlife declined throughout the 2000s, more varied field tools were developed to gather surveillance data from the diminishing possum populations, and to provide information on changing TB prevalence. Accordingly, ever more precise (but disparate) surveillance information began to be integrated into multi-faceted decision-assist models to support TB management decisions, particularly to provide informed parameters at which control effort could be halted, culminating in the Proof of Freedom modelling framework that now allows an area to be declared TB-free within chosen confidence limits. As New Zealand moves from large-scale TB control to regional eradication of disease in the coming years, further integrative models will need to be developed to support management decisions, based on combined field data of possum and TB prevalence, sentinel information, risk assessment in relation to financial benefits, and changing political and environmental needs.

Buildings Lean Maintenance Implementation Model

NASA Astrophysics Data System (ADS)

Abreu, Antonio; Calado, João; Requeijo, José

2016-11-01

Nowadays, companies in global markets have to achieve high levels of performance and competitiveness to stay "alive".Within this assumption, the building maintenance cannot be done in a casual and improvised way due to the costs related. Starting with some discussion about lean management and building maintenance, this paper introduces a model to support the Lean Building Maintenance (LBM) approach. Finally based on a real case study from a Portuguese company, the benefits, challenges and difficulties are presented and discussed.

Adaptive Value Normalization in the Prefrontal Cortex Is Reduced by Memory Load

PubMed Central

Burke, C. J.; Seifritz, E.; Tobler, P. N.

2017-01-01

Abstract Adaptation facilitates neural representation of a wide range of diverse inputs, including reward values. Adaptive value coding typically relies on contextual information either obtained from the environment or retrieved from and maintained in memory. However, it is unknown whether having to retrieve and maintain context information modulates the brain’s capacity for value adaptation. To address this issue, we measured hemodynamic responses of the prefrontal cortex (PFC) in two studies on risky decision-making. In each trial, healthy human subjects chose between a risky and a safe alternative; half of the participants had to remember the risky alternatives, whereas for the other half they were presented visually. The value of safe alternatives varied across trials. PFC responses adapted to contextual risk information, with steeper coding of safe alternative value in lower-risk contexts. Importantly, this adaptation depended on working memory load, such that response functions relating PFC activity to safe values were steeper with presented versus remembered risk. An independent second study replicated the findings of the first study and showed that similar slope reductions also arose when memory maintenance demands were increased with a secondary working memory task. Formal model comparison showed that a divisive normalization model fitted effects of both risk context and working memory demands on PFC activity better than alternative models of value adaptation, and revealed that reduced suppression of background activity was the critical parameter impairing normalization with increased memory maintenance demand. Our findings suggest that mnemonic processes can constrain normalization of neural value representations. PMID:28462394

Mathematical Modelling of Liner Piston Maintenance Activity using Field Data to Minimize Overhauling Time and Human Energy Consumption

NASA Astrophysics Data System (ADS)

Belkhode, Pramod Namdeorao

2017-06-01

Field data based model is proposed to reduce the overhauling time and human energy consumed in liner piston maintenance activity so as to increase the productivity of liner piston maintenance activity. The independent variables affecting the phenomenon such as anthropometric parameters of workers (Eastman Kodak Co. Ltd in Section VIA Appendix-A: Anthropometric Data. Ergonomic Design for People at Work, Van Nostrans Reinhold, New York, 1), workers parameters, specification of liner piston data, specification of tools used in liner piston maintenance activity, specification of solvents, axial clearance of big end bearing and bolt elongation, workstation data (Eastman Kodak Co. Ltd in Work Place Ergonomic Design for People at Work, Van Nostrans Reinhold, New York, 2) and extraneous variables, namely, temperature, humidity at workplace, illumination at workplace and noise at workplace (Eastman Kodak Co. Ltd in Chapter V Environment Ergonomic Design for People at Work, Van Nostrans Reinhold, New York, 3) are taken into account. The model is formulated for dependent variables of liner piston maintenance activity to minimize the overhauling time and human energy consumption so as to improve the productivity of liner piston maintenance activity. The developed model can predict the performance of liner piston maintenance activity which involves man and machine system (Schenck in Theories of Engineering Experimentation, Mc-Graw Hill, New York 4). The model is then optimized by optimization technique and the sensitivity analysis of the model has also been estimated.

Effect of battery longevity on costs and health outcomes associated with cardiac implantable electronic devices: a Markov model-based Monte Carlo simulation.

PubMed

Schmier, Jordana K; Lau, Edmund C; Patel, Jasmine D; Klenk, Juergen A; Greenspon, Arnold J

2017-11-01

The effects of device and patient characteristics on health and economic outcomes in patients with cardiac implantable electronic devices (CIEDs) are unclear. Modeling can estimate costs and outcomes for patients with CIEDs under a variety of scenarios, varying battery longevity, comorbidities, and care settings. The objective of this analysis was to compare changes in patient outcomes and payer costs attributable to increases in battery life of implantable cardiac defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-D). We developed a Monte Carlo Markov model simulation to follow patients through primary implant, postoperative maintenance, generator replacement, and revision states. Patients were simulated in 3-month increments for 15 years or until death. Key variables included Charlson Comorbidity Index, CIED type, legacy versus extended battery longevity, mortality rates (procedure and all-cause), infection and non-infectious complication rates, and care settings. Costs included procedure-related (facility and professional), maintenance, and infections and non-infectious complications, all derived from Medicare data (2004-2014, 5% sample). Outcomes included counts of battery replacements, revisions, infections and non-infectious complications, and discounted (3%) costs and life years. An increase in battery longevity in ICDs yielded reductions in numbers of revisions (by 23%), battery changes (by 44%), infections (by 23%), non-infectious complications (by 10%), and total costs per patient (by 9%). Analogous reductions for CRT-Ds were 23% (revisions), 32% (battery changes), 22% (infections), 8% (complications), and 10% (costs). Based on modeling results, as battery longevity increases, patients experience fewer adverse outcomes and healthcare costs are reduced. Understanding the magnitude of the cost benefit of extended battery life can inform budgeting and planning decisions by healthcare providers and insurers.

Social economic decision-making across the lifespan: An fMRI investigation.

PubMed

Harlé, Katia M; Sanfey, Alan G

2012-06-01

Recent research in neuroeconomics suggests that social economic decision-making may be best understood as a dual-systems process, integrating the influence of deliberative and affective subsystems. However, most of this research has focused on young adults and it remains unclear whether our current models extend to healthy aging. To address this question, we investigated the behavioral and neural basis of simple economic decisions in 18 young and 20 older healthy adults. Participants made decisions which involved accepting or rejecting monetary offers from human and non-human (computer) partners in an Ultimatum Game, while undergoing functional magnetic resonance imaging (fMRI). The partners' proposals involved splitting an amount of money between the two players, and ranged from $1 to $5 (from a $10 pot). Relative to young adults, older participants expected more equitable offers and rejected moderately unfair offers ($3) to a larger extent. Imaging results revealed that, relative to young participants, older adults had higher activations in the left dorsolateral prefrontal cortex (DLPFC) when receiving unfair offers ($1-$3). Age group moderated the relationship between left DLPFC activation and acceptance rates of unfair offers. In contrast, older adults showed lower activation of bilateral anterior insula in response to unfair offers. No age group difference was observed when participants received fair ($5) offers. These findings suggest that healthy aging may be associated with a stronger reliance on computational areas subserving goal maintenance and rule shifting (DLPFC) during interactive economic decision-making. Consistent with a well-documented "positivity effect", older age may also decrease recruitment of areas involved in emotion processing and integration (anterior insula) in the face of social norm violation. Published by Elsevier Ltd.

Social economic decision-making across the lifespan: an fMRI investigation

PubMed Central

Harlé, Katia M.; Sanfey, Alan G.

2012-01-01

Recent research in neuroeconomics suggests that social economic decision-making may be best understood as a dual-systems process, integrating the influence of deliberative and affective subsystems. However, most of this research has focused on young adults and it remains unclear whether our current models extend to healthy aging. To address this question, we investigated the behavioral and neural basis of simple economic decisions in 18 young and 20 older healthy adults. Participants made decisions which involved accepting or rejecting monetary offers from human and non-human (computer) partners in an Ultimatum Game, while undergoing functional magnetic resonance imaging (fMRI). The partners’ proposals involved splitting an amount of money between the two players, and ranged from $1 to $5 (from a $10 pot). Relative to young adults, older participants expected more equitable offers and rejected moderately unfair offers ($3) to a larger extent. Imaging results revealed that, relative to young participants, older adults had higher activations in the left dorsolateral prefrontal cortex (DLPFC) when receiving unfair offers ($1–$3). Age group moderated the relationship between left DLPFC activation and acceptance rates of unfair offers. In contrast, older adults showed lower activation of bilateral anterior insula in response to unfair offers. No age group difference was observed when participants received fair ($5) offers. These findings suggest that healthy aging may be associated with a stronger reliance on computational areas subserving goal maintenance and rule shifting (DLPFC) during interactive economic decision-making. Consistent with a well-documented “positivity effect”, older age may also decrease recruitment of areas involved in emotion processing and integration (anterior insula) in the face of social norm violation. PMID:22414593

Integrating O/S models during conceptual design, part 3

NASA Technical Reports Server (NTRS)

Ebeling, Charles E.

1994-01-01

Space vehicles, such as the Space Shuttle, require intensive ground support prior to, during, and after each mission. Maintenance is a significant part of that ground support. All space vehicles require scheduled maintenance to ensure operability and performance. In addition, components of any vehicle are not one-hundred percent reliable so they exhibit random failures. Once detected, a failure initiates unscheduled maintenance on the vehicle. Maintenance decreases the number of missions which can be completed by keeping vehicles out of service so that the time between the completion of one mission and the start of the next is increased. Maintenance also requires resources such as people, facilities, tooling, and spare parts. Assessing the mission capability and resource requirements of any new space vehicle, in addition to performance specification, is necessary to predict the life cycle cost and success of the vehicle. Maintenance and logistics support has been modeled by computer simulation to estimate mission capability and resource requirements for evaluation of proposed space vehicles. The simulation was written with Simulation Language for Alternative Modeling II (SLAM II) for execution on a personal computer. For either one or a fleet of space vehicles, the model simulates the preflight maintenance checks, the mission and return to earth, and the post flight maintenance in preparation to be sent back into space. THe model enables prediction of the number of missions possible and vehicle turn-time (the time between completion of one mission and the start of the next) given estimated values for component reliability and maintainability. The model also facilitates study of the manpower and vehicle requirements for the proposed vehicle to meet its desired mission rate. This is the 3rd part of a 3 part technical report.

Maintenance = reuse-oriented software development

NASA Technical Reports Server (NTRS)

Basili, Victor R.

1989-01-01

Maintenance is viewed as a reuse process. In this context, a set of models that can be used to support the maintenance process is discussed. A high level reuse framework is presented that characterizes the object of reuse, the process for adapting that object for its target application, and the reused object within its target application. Based upon this framework, a qualitative comparison is offered of the three maintenance process models with regard to their strengths and weaknesses and the circumstances in which they are appropriate. To provide a more systematic, quantitative approach for evaluating the appropriateness of the particular maintenance model, a measurement scheme is provided, based upon the reuse framework, in the form of an organized set of questions that need to be answered. To support the reuse perspective, a set of reuse enablers are discussed.

Multifunctional Information Distribution System (MIDS)

DTIC Science & Technology

2015-12-01

UNCLASSIFIED 2 Table of Contents Common Acronyms and Abbreviations for MDAP Programs 3 Program Information 5 Responsible Office 5...Contracts 77 Deliveries and Expenditures 84 Operating and Support Cost 85 Common Acronyms and Abbreviations for MDAP Programs Acq O&M...Acquisition-Related Operations and Maintenance ACAT - Acquisition Category ADM - Acquisition Decision Memorandum APB - Acquisition Program Baseline

Treatment of Heroin Dependence: Effectiveness, Costs, and Benefits of Methadone Maintenance

ERIC Educational Resources Information Center

Schilling, Robert; Dornig, Katrina; Lungren, Lena

2006-01-01

Objectives: Social workers will increasingly be required to attend to the cost-effectiveness of practices, programs, and policies. In the area of substance abuse, there is little evidence to suggest that social workers' decisions are based on evidence of either effectiveness or costs. Method: This article provides an overview of existing evidence…

Rebuilding the Campus: A Higher Education Priority for the 21st Century.

ERIC Educational Resources Information Center

Kaiser, Harvey

1989-01-01

The 21st century is within the planning horizon of today's campus decision-makers and government policies. There is currently a heavy demand to fund the reduction of deferred maintenance and make functional program improvements on campuses nationwide. Integrated capital asset management programs for all facilities are essential to success. (MSE)

77 FR 30352 - Forest River, Inc., Denial of Petition for Decision of Inconsequential Noncompliance

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-22

..., contrary to Forest River's view, the steel panels that cover the wheel/tire assemblies of the subject..., automotive mechanics earn, on average, only $17.21 per hour.\\2\\ In addition, the million dollar figure....gov/ooh/Installation-Maintenance-and-Repair/Automotive-service-technicians-and-mechanics.htm (last...

Controlling the Climate of Your Schools: Tips On Choosing an HVAC System.

ERIC Educational Resources Information Center

Phelan, John G.

1998-01-01

Provides tips on choosing a school heating/ventilation and air-conditioning system that meets a school's needs and budget. Discusses how to assess a school's needs and offers suggestions for making the final decision. Data tables are provided that compare various systems, including costs, maintenance, and life expectancy. (GR)

Perceptions of Open Source versus Commercial Software: Is Higher Education Still on the Fence?

ERIC Educational Resources Information Center

van Rooij, Shahron Williams

2007-01-01

This exploratory study investigated the perceptions of technology and academic decision-makers about open source benefits and risks versus commercial software applications. The study also explored reactions to a concept for outsourcing campus-wide deployment and maintenance of open source. Data collected from telephone interviews were analyzed,…

78 FR 48125 - Inspection, Repair, and Maintenance; Driver-Vehicle Inspection Report

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-07

... pre- and post-trip inspection lists. DATES: You must submit comments on or before October 7, 2013... pre- and post-trip inspection lists. Benefits and Costs This rule would affect all motor carriers... is appropriate to consider this factor in the decision-making process and request public comment on...

Speed Isn't Everything: Complex Processing Speed Measures Mask Individual Differences and Developmental Changes in Executive Control

ERIC Educational Resources Information Center

Cepeda, Nicholas J.; Blackwell, Katharine A.; Munakata, Yuko

2013-01-01

The rate at which people process information appears to influence many aspects of cognition across the lifespan. However, many commonly accepted measures of "processing speed" may require goal maintenance, manipulation of information in working memory, and decision-making, blurring the distinction between processing speed and executive…

Use of Social Welfare Programs and the Disintegration of the Black Nuclear Family.

ERIC Educational Resources Information Center

Jewell, K. Sue

1984-01-01

Social welfare programs contribute to Black women's decisions to terminate their marriages by modifying existing beliefs and values, giving rise to a perception of welfare as a more viable alternative to marital relationships. But welfare is insufficient to enable the maintenance of Black women's preseparation standard of living. (RDN)

'Known unknowns - examining the burden of neurocognitive impairment in the end-stage renal failure population'.

PubMed

Wilson, Scott; Dhar, Arup; Tregaskis, Peter; Lambert, Gavin; Barton, David; Walker, Rowan

2018-01-18

The burden of neurocognitive impairment (NCI) in patients receiving maintenance dialysis represents a spectrum of deficits across multiple cognitive domains which are associated with hospitalisation, reduced quality-of-life, mortality and forced decision-making around dialysis withdrawal. Point prevalence data suggests that dialysis patients manifest NCI at rates 3-5 fold higher than the general population with executive function the most commonly affected cognitive domain. The unique physiology of the renal failure state and maintenance dialysis appears to drive an excess of vascular dementia subtype compared to the general population where classical Alzheimer's disease predominates. Despite the absence of evidence based cost-effective therapies for NCI, detecting it in this population creates opportunity to proactively personalise care through education, supported decision making and targeted communication strategies to cover specific areas of deficit and help define goals of care. This review discusses NCI in the dialysis setting, including developments in the definition of neurocognitive impairment, dialysis-specific epidemiology across modalities, screening strategies and opportunities for dialysis providers in this space. This article is protected by copyright. All rights reserved.

Stakeholder challenges in purchasing medical devices for patient safety.

PubMed

Hinrichs, Saba; Dickerson, Terry; Clarkson, John

2013-03-01

This study identifies the stakeholders who have a role in medical device purchasing within the wider system of health-care delivery and reports on their particular challenges to promote patient safety during purchasing decisions. Data was collected through observational work, participatory workshops, and semi-structured qualitative interviews, which were analyzed and coded. The study takes a systems-based and engineering design approach to the study. Five hospitals took part in this study, and the participants included maintenance, training, clinical end-users, finance, and risk departments. The main stakeholders for purchasing were identified to be staff from clinical engineering (Maintenance), device users (Clinical), device trainers (Training), and clinical governance for analyzing incidents involving devices (Risk). These stakeholders display varied characteristics in terms of interpretation of their own roles, competencies for selecting devices, awareness and use of resources for purchasing devices, and attitudes toward the purchasing process. The role of "clinical engineering" is seen by these stakeholders to be critical in mediating between training, technical, and financial stakeholders but not always recognized in practice. The findings show that many device purchasing decisions are tackled in isolation, which is not optimal for decisions requiring knowledge that is currently distributed among different people within different departments. The challenges expressed relate to the wider system of care and equipment management, calling for a more systemic view of purchasing for medical devices.

An overview and discussion of the Patient-Centered Outcomes Research Institute's decision aid portfolio.

PubMed

Gayer, Christopher C; Crowley, Matthew J; Lawrence, William F; Gierisch, Jennifer M; Gaglio, Bridget; Williams, John W; Myers, Evan R; Kendrick, Amy; Slutsky, Jean; Sanders, Gillian D

2016-07-01

Decision aids (DAs) help patients make informed healthcare decisions in a manner consistent with their values and preferences. Despite their promise, DAs developed with public research dollars are not being implemented and adopted in real-world patient care settings at a rate consistent with which they are being developed. To appraise the sum of the parts of the portfolio and create a strategic imperative surrounding future funding, the Patient-Centered Outcomes Research Institute (PCORI) tasked the Duke Evidence Synthesis Group with evaluating its DA portfolio. This paper describes PCORI's portfolio of DAs according to the Duke Evidence Synthesis Group's analysis in the context of PCORI's mission and the field of decision science. The results revealed a diversity within PCORI's portfolio of funded DA projects. Findings support the movement toward more rigorous DA development, assessment and maintenance. PCORI's funding priorities related to DAs are clarified and comparative questions of interest are posed.

Variability in visual working memory ability limits the efficiency of perceptual decision making.

PubMed

Ester, Edward F; Ho, Tiffany C; Brown, Scott D; Serences, John T

2014-04-02

The ability to make rapid and accurate decisions based on limited sensory information is a critical component of visual cognition. Available evidence suggests that simple perceptual discriminations are based on the accumulation and integration of sensory evidence over time. However, the memory system(s) mediating this accumulation are unclear. One candidate system is working memory (WM), which enables the temporary maintenance of information in a readily accessible state. Here, we show that individual variability in WM capacity is strongly correlated with the speed of evidence accumulation in speeded two-alternative forced choice tasks. This relationship generalized across different decision-making tasks, and could not be easily explained by variability in general arousal or vigilance. Moreover, we show that performing a difficult discrimination task while maintaining a concurrent memory load has a deleterious effect on the latter, suggesting that WM storage and decision making are directly linked.

Modeling and Simulation of HVAC Faulty Operations and Performance Degradation due to Maintenance Issues

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wang, Liping; Hong, Tianzhen

Almost half of the total energy used in the U.S. buildings is consumed by heating, ventilation and air conditionings (HVAC) according to EIA statistics. Among various driving factors to energy performance of building, operations and maintenance play a significant role. Many researches have been done to look at design efficiencies and operational controls for improving energy performance of buildings, but very few study the impacts of HVAC systems maintenance. Different practices of HVAC system maintenance can result in substantial differences in building energy use. If a piece of HVAC equipment is not well maintained, its performance will degrade. If sensorsmore » used for control purpose are not calibrated, not only building energy usage could be dramatically increased, but also mechanical systems may not be able to satisfy indoor thermal comfort. Properly maintained HVAC systems can operate efficiently, improve occupant comfort, and prolong equipment service life. In the paper, maintenance practices for HVAC systems are presented based on literature reviews and discussions with HVAC engineers, building operators, facility managers, and commissioning agents. We categorize the maintenance practices into three levels depending on the maintenance effort and coverage: 1) proactive, performance-monitored maintenance; 2) preventive, scheduled maintenance; and 3) reactive, unplanned or no maintenance. A sampled list of maintenance issues, including cooling tower fouling, boiler/chiller fouling, refrigerant over or under charge, temperature sensor offset, outdoor air damper leakage, outdoor air screen blockage, outdoor air damper stuck at fully open position, and dirty filters are investigated in this study using field survey data and detailed simulation models. The energy impacts of both individual maintenance issue and combined scenarios for an office building with central VAV systems and central plant were evaluated by EnergyPlus simulations using three approaches: 1) direct modeling with EnergyPlus, 2) using the energy management system feature of EnergyPlus, and 3) modifying EnergyPlus source code. The results demonstrated the importance of maintenance for HVAC systems on energy performance of buildings. The research is intended to provide a guideline to help practitioners and building operators to gain the knowledge of maintaining HVAC systems in efficient operations, and prioritize HVAC maintenance work plan. The paper also discusses challenges of modeling building maintenance issues using energy simulation programs.« less

The Sortie-Generation Model System. Volume 5. Maintenance Subsystem

DTIC Science & Technology

1981-09-01

Compuger RoanutI f and moidel 11, Computer operatinS system 17, Proorammino largualviso IS. Numlier of .ugic proltsm Hoewl -3 CSCobol 600 stuscomentm...THE SORTIE-GENERATION MODEL SYSTEM OC’ VOLUME V MAINTENANCE SUBSYSTEM September 1981 Robert S. Greenberg 05$ Prepared pursuant to Department of...Generation Model System Volume V Maintenance Subsystem 6. PERFORMING ORG. REPORT NUMBER LMI Task- L102 7. AUTHOR(a) 8. CONTRACT OR GRANT NUMBER(a

The hydraulic capacity of deteriorating sewer systems.

PubMed

Pollert, J; Ugarelli, R; Saegrov, S; Schilling, W; Di Federico, V

2005-01-01

Sewer and wastewater systems suffer from insufficient capacity, construction flaws and pipe deterioration. Consequences are structural failures, local floods, surface erosion and pollution of receiving waters bodies. European cities spend in the order of five billion Euro per year for wastewater network rehabilitation. This amount is estimated to increase due to network ageing. The project CARE-S (Computer Aided RE-habilitation of Sewer Networks) deals with sewer and storm water networks. The final project goal is to develop integrated software, which provides the most cost-efficient system of maintenance, repair and rehabilitation of sewer networks. Decisions on investments in rehabilitation often have to be made with uncertain information about the structural condition and the hydraulic performance of a sewer system. Because of this, decision-making involves considerable risks. This paper presents the results of research focused on the study of hydraulic effects caused by failures due to temporal decline of sewer systems. Hydraulic simulations are usually carried out by running commercial models that apply, as input, default values of parameters that strongly influence results. Using CCTV inspections information as dataset to catalogue principal types of failures affecting pipes, a 3D model was used to evaluate their hydraulic consequences. The translation of failures effects in parameters values producing the same hydraulic conditions caused by failures was carried out through the comparison of laboratory experiences and 3D simulations results. Those parameters could be the input of 1D commercial models instead of the default values commonly inserted.

Architecture and Key Techniques of Augmented Reality Maintenance Guiding System for Civil Aircrafts

NASA Astrophysics Data System (ADS)

hong, Zhou; Wenhua, Lu

2017-01-01

Augmented reality technology is introduced into the maintenance related field for strengthened information in real-world scenarios through integration of virtual assistant maintenance information with real-world scenarios. This can lower the difficulty of maintenance, reduce maintenance errors, and improve the maintenance efficiency and quality of civil aviation crews. Architecture of augmented reality virtual maintenance guiding system is proposed on the basis of introducing the definition of augmented reality and analyzing the characteristics of augmented reality virtual maintenance. Key techniques involved, such as standardization and organization of maintenance data, 3D registration, modeling of maintenance guidance information and virtual maintenance man-machine interaction, are elaborated emphatically, and solutions are given.

Methods of increasing efficiency and maintainability of pipeline systems

NASA Astrophysics Data System (ADS)

Ivanov, V. A.; Sokolov, S. M.; Ogudova, E. V.

2018-05-01

This study is dedicated to the issue of pipeline transportation system maintenance. The article identifies two classes of technical-and-economic indices, which are used to select an optimal pipeline transportation system structure. Further, the article determines various system maintenance strategies and strategy selection criteria. Meanwhile, the maintenance strategies turn out to be not sufficiently effective due to non-optimal values of maintenance intervals. This problem could be solved by running the adaptive maintenance system, which includes a pipeline transportation system reliability improvement algorithm, especially an equipment degradation computer model. In conclusion, three model building approaches for determining optimal technical systems verification inspections duration were considered.

[The Role and Function of Informatics Nurses in Information Technology Decision-Making].

PubMed

Lee, Tso-Ying

2017-08-01

The medical environment has changed greatly with the coming of the information age, and, increasingly, the operating procedures for medical services have been altered in keeping with the trend toward mobile, paperless services. Informatization has the potential to improve the working efficiency of medical personnel, enhance patient care safety, and give medical organizations a positive image. Informatics nurses play an important role in the decision-making processes that accompany informatization. As one of the decision-making links in the information technology lifecycle, this role affects the success of the development and operation of information systems. The present paper examines the functions and professional knowledge that informatics nurses must possess during the technology lifecycle, the four stages of which include: planning, analysis, design/development/revision, and implementation/assessment/support/maintenance. The present paper further examines the decision-making shortcomings and errors that an informatics nurses may make during the decision-making process. We hope that this paper will serve as an effective and useful reference for informatics nurses during the informatization decision-making process.

Multi-agent systems design for aerospace applications

NASA Astrophysics Data System (ADS)

Waslander, Steven L.

2007-12-01

Engineering systems with independent decision makers are becoming increasingly prevalent and present many challenges in coordinating actions to achieve systems goals. In particular, this work investigates the applications of air traffic flow control and autonomous vehicles as motivation to define algorithms that allow agents to agree to safe, efficient and equitable solutions in a distributed manner. To ensure system requirements will be satisfied in practice, each method is evaluated for a specific model of agent behavior, be it cooperative or non-cooperative. The air traffic flow control problem is investigated from the point of view of the airlines, whose costs are directly affected by resource allocation decisions made by the Federal Aviation Administration in order to mitigate traffic disruptions caused by weather. Airlines are first modeled as cooperative, and a distributed algorithm is presented with various global cost metrics which balance efficient and equitable use of resources differently. Next, a competitive airline model is assumed and two market mechanisms are developed for allocating contested airspace resources. The resource market mechanism provides a solution for which convergence to an efficient solution can be guaranteed, and each airline will improve on the solution that would occur without its inclusion in the decision process. A lump-sum market is then introduced as an alternative mechanism, for which efficiency loss bounds exist if airlines attempt to manipulate prices. Initial convergence results for lump-sum markets are presented for simplified problems with a single resource. To validate these algorithms, two air traffic flow models are developed which extend previous techniques, the first a convenient convex model made possible by assuming constant velocity flow, and the second a more complex flow model with full inflow, velocity and rerouting control. Autonomous vehicle teams are envisaged for many applications including mobile sensing and search and rescue. To enable these high-level applications, multi-vehicle collision avoidance is solved using a cooperative, decentralized algorithm. For the development of coordination algorithms for autonomous vehicles, the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC) is presented. This testbed provides significant advantages over other aerial testbeds due to its small size and low maintenance requirements.

Spares Management : Optimizing Hardware Usage for the Space Shuttle Main Engine

NASA Technical Reports Server (NTRS)

Gulbrandsen, K. A.

1999-01-01

The complexity of the Space Shuttle Main Engine (SSME), combined with mounting requirements to reduce operations costs have increased demands for accurate tracking, maintenance, and projections of SSME assets. The SSME Logistics Team is developing an integrated asset management process. This PC-based tool provides a user-friendly asset database for daily decision making, plus a variable-input hardware usage simulation with complex logic yielding output that addresses essential asset management issues. Cycle times on critical tasks are significantly reduced. Associated costs have decreased as asset data quality and decision-making capability has increased.

A review on prognostics approaches for remaining useful life of lithium-ion battery

NASA Astrophysics Data System (ADS)

Su, C.; Chen, H. J.

2017-11-01

Lithium-ion (Li-ion) battery is a core component for various industrial systems, including satellite, spacecraft and electric vehicle, etc. The mechanism of performance degradation and remaining useful life (RUL) estimation correlate closely to the operating state and reliability of the aforementioned systems. Furthermore, RUL prediction of Li-ion battery is crucial for the operation scheduling, spare parts management and maintenance decision for such kinds of systems. In recent years, performance degradation prognostics and RUL estimation approaches have become a focus of the research concerning with Li-ion battery. This paper summarizes the approaches used in Li-ion battery RUL estimation. Three categories are classified accordingly, i.e. model-based approach, data-based approach and hybrid approach. The key issues and future trends for battery RUL estimation are also discussed.

An actual load forecasting methodology by interval grey modeling based on the fractional calculus.

PubMed

Yang, Yang; Xue, Dingyü

2017-07-17

The operation processes for thermal power plant are measured by the real-time data, and a large number of historical interval data can be obtained from the dataset. Within defined periods of time, the interval information could provide important information for decision making and equipment maintenance. Actual load is one of the most important parameters, and the trends hidden in the historical data will show the overall operation status of the equipments. However, based on the interval grey parameter numbers, the modeling and prediction process is more complicated than the one with real numbers. In order not lose any information, the geometric coordinate features are used by the coordinates of area and middle point lines in this paper, which are proved with the same information as the original interval data. The grey prediction model for interval grey number by the fractional-order accumulation calculus is proposed. Compared with integer-order model, the proposed method could have more freedom with better performance for modeling and prediction, which can be widely used in the modeling process and prediction for the small amount interval historical industry sequence samples. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

Modelling the failure behaviour of wind turbines

NASA Astrophysics Data System (ADS)

Faulstich, S.; Berkhout, V.; Mayer, J.; Siebenlist, D.

2016-09-01

Modelling the failure behaviour of wind turbines is an essential part of offshore wind farm simulation software as it leads to optimized decision making when specifying the necessary resources for the operation and maintenance of wind farms. In order to optimize O&M strategies, a thorough understanding of a wind turbine's failure behaviour is vital and is therefore being developed at Fraunhofer IWES. Within this article, first the failure models of existing offshore O&M tools are presented to show the state of the art and strengths and weaknesses of the respective models are briefly discussed. Then a conceptual framework for modelling different failure mechanisms of wind turbines is being presented. This framework takes into account the different wind turbine subsystems and structures as well as the failure modes of a component by applying several influencing factors representing wear and break failure mechanisms. A failure function is being set up for the rotor blade as exemplary component and simulation results have been compared to a constant failure rate and to empirical wind turbine fleet data as a reference. The comparison and the breakdown of specific failure categories demonstrate the overall plausibility of the model.

Using PHM to measure equipment usable life on the Air Force's next generation reusable space booster

NASA Astrophysics Data System (ADS)

Blasdel, A.

The U.S. Air Force procures many launch vehicles and launch vehicle services to place their satellites at their desired location in space. The equipment on-board these satellite and launch vehicle often suffer from premature failures that result in the total loss of the satellite or a shortened mission life sometimes requiring the purchase of a replacement satellite and launch vehicle. The Air Force uses its EELV to launch its high priority satellites. Due to a rise in the cost of purchasing a launch using the Air Force's EELV from 72M in 1997 to as high as 475M per launch today, the Air Force is working to replace the EELV with a reusable space booster (RSB). The RSB will be similar in design and operations to the recently cancelled NASA reusable space booster known as the Space Shuttle. If the Air Force uses the same process that procures the EELV and other launch vehicles and satellites, the RSB will also suffer from premature equipment failures thus putting the payloads at a similar high risk of mission failure. The RSB is expected to lower each launch cost by 50% compared to the EELV. The development of the RSB offers the Air Force an opportunity to use a new reliability paradigm that includes a prognostic and health management program and a condition-based maintenance program. These both require using intelligent, decision making self-prognostic equipment The prognostic and health management program and its condition-based maintenance program allows increases in RSB equipment usable life, lower logistics and maintenance costs, while increasing safety and mission assurance. The PHM removes many decisions from personnel that, in the past resulted in catastrophic failures and loss of life. Adding intelligent, decision-making self-prognostic equipment to the RSB will further decrease launch costs while decreasing risk and increasing safety and mission assurance.

An intelligent healthcare management system: a new approach in work-order prioritization for medical equipment maintenance requests.

PubMed

Hamdi, Naser; Oweis, Rami; Abu Zraiq, Hamzeh; Abu Sammour, Denis

2012-04-01

The effective maintenance management of medical technology influences the quality of care delivered and the profitability of healthcare facilities. Medical equipment maintenance in Jordan lacks an objective prioritization system; consequently, the system is not sensitive to the impact of equipment downtime on patient morbidity and mortality. The current work presents a novel software system (EQUIMEDCOMP) that is designed to achieve valuable improvements in the maintenance management of medical technology. This work-order prioritization model sorts medical maintenance requests by calculating a priority index for each request. Model performance was assessed by utilizing maintenance requests from several Jordanian hospitals. The system proved highly efficient in minimizing equipment downtime based on healthcare delivery capacity, and, consequently, patient outcome. Additionally, a preventive maintenance optimization module and an equipment quality control system are incorporated. The system is, therefore, expected to improve the reliability of medical equipment and significantly improve safety and cost-efficiency.

Developing mobile- and BIM-based integrated visual facility maintenance management system.

PubMed

Lin, Yu-Cheng; Su, Yu-Chih

2013-01-01

Facility maintenance management (FMM) has become an important topic for research on the operation phase of the construction life cycle. Managing FMM effectively is extremely difficult owing to various factors and environments. One of the difficulties is the performance of 2D graphics when depicting maintenance service. Building information modeling (BIM) uses precise geometry and relevant data to support the maintenance service of facilities depicted in 3D object-oriented CAD. This paper proposes a new and practical methodology with application to FMM using BIM technology. Using BIM technology, this study proposes a BIM-based facility maintenance management (BIMFMM) system for maintenance staff in the operation and maintenance phase. The BIMFMM system is then applied in selected case study of a commercial building project in Taiwan to verify the proposed methodology and demonstrate its effectiveness in FMM practice. Using the BIMFMM system, maintenance staff can access and review 3D BIM models for updating related maintenance records in a digital format. Moreover, this study presents a generic system architecture and its implementation. The combined results demonstrate that a BIMFMM-like system can be an effective visual FMM tool.

Framework and implementation of a continuous network-wide health monitoring system for roadways

NASA Astrophysics Data System (ADS)

Wang, Ming; Birken, Ralf; Shahini Shamsabadi, Salar

2014-03-01

According to the 2013 ASCE report card America's infrastructure scores only a D+. There are more than four million miles of roads (grade D) in the U.S. requiring a broad range of maintenance activities. The nation faces a monumental problem of infrastructure management in the scheduling and implementation of maintenance and repair operations, and in the prioritization of expenditures within budgetary constraints. The efficient and effective performance of these operations however is crucial to ensuring roadway safety, preventing catastrophic failures, and promoting economic growth. There is a critical need for technology that can cost-effectively monitor the condition of a network-wide road system and provide accurate, up-to-date information for maintenance activity prioritization. The Versatile Onboard Traffic Embedded Roaming Sensors (VOTERS) project provides a framework and the sensing capability to complement periodical localized inspections to continuous network-wide health monitoring. Research focused on the development of a cost-effective, lightweight package of multi-modal sensor systems compatible with this framework. An innovative software infrastructure is created that collects, processes, and evaluates these large time-lapse multi-modal data streams. A GIS-based control center manages multiple inspection vehicles and the data for further analysis, visualization, and decision making. VOTERS' technology can monitor road conditions at both the surface and sub-surface levels while the vehicle is navigating through daily traffic going about its normal business, thereby allowing for network-wide frequent assessment of roadways. This deterioration process monitoring at unprecedented time and spatial scales provides unique experimental data that can be used to improve life-cycle cost analysis models.

Cost-effectiveness of gefitinib, icotinib, and pemetrexed-based chemotherapy as first-line treatments for advanced non-small cell lung cancer in China

PubMed Central

Lu, Shun; Ye, Ming; Ding, Lieming; Tan, Fenlai; Fu, Jie; Wu, Bin

2017-01-01

Tyrosine kinase inhibitors of the epidermal growth factor receptor (EGFR) are becoming the standard treatment option for patients with advanced non-small cell lung cancer (NSCLC) harboring an EGFR mutation, but the economic impact of this practice is unclear, especially in a health resource-limited setting. A decision-analytic model was developed to simulate 21-day patient transitions in a 10-year time horizon. The health and economic outcomes of four first-line strategies (pemetrexed plus cisplatin [PC] alone, PC followed by maintenance with pemetrexed, or initial treatment with gefitinib or icotinib) among patients harboring EGFR mutations were estimated and assessed via indirect comparisons. Costs in the Chinese setting were estimated. The primary outcome was the incremental cost-effectiveness ratio (ICER). Sensitivity analyses were performed. The icotinib strategy resulted in greater health benefits than the other three strategies in NSCLC patients harboring EGFR mutations. Relative to PC alone, PC followed by pemetrexed maintenance, gefitinib and icotinib resulted in ICERs of $104,657, $28,485 and $19,809 per quality-adjusted life-year gained, respectively. The cost of pemetrexed, the EGFR mutation prevalence and the utility of progression-free survival were factors that had a considerable impact on the model outcomes. When the icotinib Patient Assistance Program was available, the economic outcome of icotinib was more favorable. These results indicate that gene-guided therapy with icotinib might be a more cost-effective treatment option than traditional chemotherapy. PMID:28036283

Cost-effectiveness of gefitinib, icotinib, and pemetrexed-based chemotherapy as first-line treatments for advanced non-small cell lung cancer in China.

PubMed

Lu, Shun; Ye, Ming; Ding, Lieming; Tan, Fenlai; Fu, Jie; Wu, Bin

2017-02-07

Tyrosine kinase inhibitors of the epidermal growth factor receptor (EGFR) are becoming the standard treatment option for patients with advanced non-small cell lung cancer (NSCLC) harboring an EGFR mutation, but the economic impact of this practice is unclear, especially in a health resource-limited setting. A decision-analytic model was developed to simulate 21-day patient transitions in a 10-year time horizon. The health and economic outcomes of four first-line strategies (pemetrexed plus cisplatin [PC] alone, PC followed by maintenance with pemetrexed, or initial treatment with gefitinib or icotinib) among patients harboring EGFR mutations were estimated and assessed via indirect comparisons. Costs in the Chinese setting were estimated. The primary outcome was the incremental cost-effectiveness ratio (ICER). Sensitivity analyses were performed. The icotinib strategy resulted in greater health benefits than the other three strategies in NSCLC patients harboring EGFR mutations. Relative to PC alone, PC followed by pemetrexed maintenance, gefitinib and icotinib resulted in ICERs of $104,657, $28,485 and $19,809 per quality-adjusted life-year gained, respectively. The cost of pemetrexed, the EGFR mutation prevalence and the utility of progression-free survival were factors that had a considerable impact on the model outcomes. When the icotinib Patient Assistance Program was available, the economic outcome of icotinib was more favorable. These results indicate that gene-guided therapy with icotinib might be a more cost-effective treatment option than traditional chemotherapy.

A new multi-objective optimization model for preventive maintenance and replacement scheduling of multi-component systems

NASA Astrophysics Data System (ADS)

Moghaddam, Kamran S.; Usher, John S.

2011-07-01

In this article, a new multi-objective optimization model is developed to determine the optimal preventive maintenance and replacement schedules in a repairable and maintainable multi-component system. In this model, the planning horizon is divided into discrete and equally-sized periods in which three possible actions must be planned for each component, namely maintenance, replacement, or do nothing. The objective is to determine a plan of actions for each component in the system while minimizing the total cost and maximizing overall system reliability simultaneously over the planning horizon. Because of the complexity, combinatorial and highly nonlinear structure of the mathematical model, two metaheuristic solution methods, generational genetic algorithm, and a simulated annealing are applied to tackle the problem. The Pareto optimal solutions that provide good tradeoffs between the total cost and the overall reliability of the system can be obtained by the solution approach. Such a modeling approach should be useful for maintenance planners and engineers tasked with the problem of developing recommended maintenance plans for complex systems of components.

Developmental changes in decision making under risk: The role of executive functions and reasoning abilities in 8- to 19-year-old decision makers.

PubMed

Schiebener, Johannes; García-Arias, María; García-Villamisar, Domingo; Cabanyes-Truffino, Javier; Brand, Matthias

2015-01-01

Previous studies have shown that children and adolescents often tend toward risky decisions despite explicit knowledge about the potential negative consequences. This phenomenon has been suggested to be associated with the immaturity of brain areas involved in cognitive control functions. Particularly, "frontal lobe functions," such as executive functions and reasoning, mature until young adulthood and are thought to be involved in age-related changes in decision making under explicit risk conditions. We investigated 112 participants, aged 8-19 years, with a frequently used task assessing decisions under risk, the Game of Dice Task (GDT). Additionally, we administered the Modified Card Sorting Test assessing executive functioning (categorization, cognitive flexibility, and strategy maintenance) as well as the Ravens Progressive Matrices assessing reasoning. The results showed that risk taking in the GDT decreased with increasing age and this effect was not moderated by reasoning but by executive functions: Particularly, young persons with weak executive functioning showed very risky decision making. Thus, the individual maturation of executive functions, associated with areas in the prefrontal cortex, seems to be an important factor in young peoples' behavior in risky decision-making situations.

Thermal mapping as a valuable tool for road weather forecast and winter road maintenance: an example from the Italian Alps

NASA Astrophysics Data System (ADS)

Todeschini, Ilaria; Di Napoli, Claudia; Pretto, Ilaria; Merler, Giacomo; Cavaliere, Roberto; Apolloni, Roberto; Antonacci, Gianluca; Piazza, Andrea; Benedetti, Guido

2016-08-01

During the winter period ice is likely to form on roads, making pavement surfaces slippery and increasing accident risk. Road surface temperature (RST) is one of the most important parameters in ice formation. The LIFE+ "CLEANROADS" project aims to forecast RSTs in advance in order to support road maintenance services in the timely and effective preparation of preventive anti-icing measures. This support is provided through a novel MDSS (Maintenance Decision Support System). The final goal of the project is to quantitatively demonstrate that the implemented MDSS is capable to minimize the consumption of chemical anti-icing reagents (e.g. sodium chloride) and the associated environmental (water and air) impact while maintaining the current high levels of road safety. In the CLEAN-ROADS system RSTs have been forecast by applying the numerical model METRo (Model of the Environment and Temperature of Roads) to a network of RWIS (Road Weather Information System) stations installed on a test route in the Adige Valley (Italy). This forecast is however local and does not take into account typical peculiarities along road network, such as the presence of road sections that are particularly prone to ice formation. Thermal mapping, i.e. the acquisition of mobile RST measurements through infrared thermometry, permits to (i) identify and map those sections, and (ii) extend the forecast from a RWIS station to adjacent areas. The processing of thermal mapping signals is however challenging because of random variations in the road surface emissivity. To overcome this we have acquired several thermal mapping traces along the test route during winter seasons 2014-2015 and 2015-2016. We have then defined a "characteristic" thermal fingerprint as a function of all its historical thermal mapping signals, and used it to spatialize local METRo forecasts. Preliminary results suggest the high potential of such a technique for winter road applications.

Landslide susceptibility mapping along PLUS expressways in Malaysia using probabilistic based model in GIS

NASA Astrophysics Data System (ADS)

Yusof, Norbazlan M.; Pradhan, Biswajeet

2014-06-01

PLUS Berhad holds the concession for a total of 987 km of toll expressways in Malaysia, the longest of which is the North-South Expressway or NSE. Acting as the backbone' of the west coast of the peninsula, the NSE stretches from the Malaysian-Thai border in the north to the border with neighbouring Singapore in the south, linking several major cities and towns along the way. North-South Expressway in Malaysia contributes to the country economic development through trade, social and tourism sector. Presently, the highway is good in terms of its condition and connection to every state but some locations need urgent attention. Stability of slopes at these locations is of most concern as any instability can cause danger to the motorist. In this paper, two study locations have been analysed; they are Gua Tempurung (soil slope) and Jelapang (rock slope) which are obviously having two different characteristics. These locations passed through undulating terrain with steep slopes where landslides are common and the probability of slope instability due to human activities in surrounding areas is high. A combination of twelve (12) landslide conditioning factors database on slope stability such as slope degree and slope aspect were extracted from IFSAR (interoferometric synthetic aperture radar) while landuse, lithology and structural geology were constructed from interpretation of high resolution satellite data from World View II, Quickbird and Ikonos. All this information was analysed in geographic information system (GIS) environment for landslide susceptibility mapping using probabilistic based frequency ratio model. Consequently, information on the slopes such as inventories, condition assessments and maintenance records were assessed through total expressway maintenance management system or better known as TEMAN. The above mentioned system is used by PLUS as an asset management and decision support tools for maintenance activities along the highways as well as for data quality checking and integrity. In this study, TEMAN data were further analysed and subsequently integrated with landslide susceptible map for Gua Tempurung and Jelapang area in Perak.

Prototype Training Materials for Acceptance Criteria of Maintenance ASAP Events Occurring Within Social Context

NASA Technical Reports Server (NTRS)

Taylor, J. C.

2004-01-01

The aviation maintenance community is at a crossroads with respect to implementing the Aviation Safety Action Program (ASAP). While there is considerable interest, several key issues have emerged that cast doubt on how to assure a successful implementation, including buy-in from all levels of the company and training for key participants. There are two objectives for the present report. The first is to provide an examination of limits (or more properly, examples) of the degree of acceptability of more problematic events for risk-based decisions within the current ASAP guidelines. The second objective is to apply these limits of community standards to a set of further refined ASAP training scenarios.

[Nurses' subjectivity production and the decision-making in the process of care].

PubMed

Busanello, Josefine; Lunardi Filho, Wilson Danilo; Kerber, Nalú Pereira da Costa

2013-06-01

This study aimed to understand the relationship between Nurse's production of subjectivity and the decision-making in the process of Nursing care. A qualitative design of research was conducted. The investigation was carried out with twelve nurses who work at the Associação de Caridade Santa Casa do Rio Grande, a hospital located in Rio Grande, RS, Brazil. For data collection, focus group technique was used three meetings were conducted in december 2011. The results were presented in semantic categories: Capitalist System: maintenance of employment bond; Submission System: institutionalized culture and vision of society; Nursing Hierarchical System; and Values System: feeling of guilt and lack of professional recognition. The capitalist system mediates, mainly, the behavior that prevails in the decision-making process in Nursing care.

Defining, Measuring, and Incentivizing Sustainable Land Use to Meet Human Needs

NASA Astrophysics Data System (ADS)

Nicholas, K. A.; Brady, M. V.; Olin, S.; Ekroos, J.; Hall, M.; Seaquist, J. W.; Lehsten, V.; Smith, H.

2016-12-01

Land is a natural capital that supports the flow of an enormous amount of ecosystem services critical to human welfare. Sustainable land use, which we define as land use that meets both current and future human needs for ecosystem services, is essential to meet global goals for climate mitigation and sustainable development, while maintaining natural capital. However, it is not clear what governance is needed to achieve sustainable land use under multiple goals (as defined by the values of relevant decision-makers and land managers), particularly under climate change. Here we develop a conceptual model for examining the interactions and tradeoffs among multiple goals, as well as their spatial interactions (teleconnections), in research developed using Design Thinking principles. We have selected five metrics for provisioning (food production, and fiber production for wood and energy), regulating and maintenance (climate mitigation and biodiversity conservation), and cultural (heritage) ecosystem services. Using the case of Sweden, we estimate indicators for these metrics using a combination of existing data synthesis and process-based simulation modeling. We also develop and analyze new indicators (e.g., combining data on land use, bird conservation status, and habitat specificity to make a predictive model of bird diversity changes on agricultural or forested land). Our results highlight both expected tradeoffs (e.g., between food production and biodiversity conservation) as well as unexpected opportunities for synergies under different land management scenarios and strategies. Our model also provides a practical way to make decision-maker values explicit by comparing both quantity and preferences for bundles of ecosystem services under various scenarios. We hope our model will help in considering competing interests and shaping economic incentives and governance structures to meet national targets in support of global goals for sustainable management of land-based ecosystem services.

An effective and comprehensive model for optimal rehabilitation of separate sanitary sewer systems.

PubMed

Diogo, António Freire; Barros, Luís Tiago; Santos, Joana; Temido, Jorge Santos

2018-01-15

In the field of rehabilitation of separate sanitary sewer systems, a large number of technical, environmental, and economic aspects are often relevant in the decision-making process, which may be modelled as a multi-objective optimization problem. Examples are those related with the operation and assessment of networks, optimization of structural, hydraulic, sanitary, and environmental performance, rehabilitation programmes, and execution works. In particular, the cost of investment, operation and maintenance needed to reduce or eliminate Infiltration from the underground water table and Inflows of storm water surface runoff (I/I) using rehabilitation techniques or related methods can be significantly lower than the cost of transporting and treating these flows throughout the lifespan of the systems or period studied. This paper presents a comprehensive I/I cost-benefit approach for rehabilitation that explicitly considers all elements of the systems and shows how the approximation is incorporated as an objective function in a general evolutionary multi-objective optimization model. It takes into account network performance and wastewater treatment costs, average values of several input variables, and rates that can reflect the adoption of different predictable or limiting scenarios. The approach can be used as a practical and fast tool to support decision-making in sewer network rehabilitation in any phase of a project. The fundamental aspects, modelling, implementation details and preliminary results of a two-objective optimization rehabilitation model using a genetic algorithm, with a second objective function related to the structural condition of the network and the service failure risk, are presented. The basic approach is applied to three real world cases studies of sanitary sewerage systems in Coimbra and the results show the simplicity, suitability, effectiveness, and usefulness of the approximation implemented and of the objective function proposed. Copyright © 2017 Elsevier B.V. All rights reserved.

Scheduling structural health monitoring activities for optimizing life-cycle costs and reliability of wind turbines

NASA Astrophysics Data System (ADS)

Hanish Nithin, Anu; Omenzetter, Piotr

2017-04-01

Optimization of the life-cycle costs and reliability of offshore wind turbines (OWTs) is an area of immense interest due to the widespread increase in wind power generation across the world. Most of the existing studies have used structural reliability and the Bayesian pre-posterior analysis for optimization. This paper proposes an extension to the previous approaches in a framework for probabilistic optimization of the total life-cycle costs and reliability of OWTs by combining the elements of structural reliability/risk analysis (SRA), the Bayesian pre-posterior analysis with optimization through a genetic algorithm (GA). The SRA techniques are adopted to compute the probabilities of damage occurrence and failure associated with the deterioration model. The probabilities are used in the decision tree and are updated using the Bayesian analysis. The output of this framework would determine the optimal structural health monitoring and maintenance schedules to be implemented during the life span of OWTs while maintaining a trade-off between the life-cycle costs and risk of the structural failure. Numerical illustrations with a generic deterioration model for one monitoring exercise in the life cycle of a system are demonstrated. Two case scenarios, namely to build initially an expensive and robust or a cheaper but more quickly deteriorating structures and to adopt expensive monitoring system, are presented to aid in the decision-making process.

Supporting structures for team situation awareness and decision making: insights from four delivery suites.

PubMed

Mackintosh, Nicola; Berridge, Emma-Jane; Freeth, Della

2009-02-01

'Human factors' (non-technical skills such as communication and teamwork) have been strongly implicated in adverse events during labour and delivery. The importance of shared 'situation awareness' between team members is highlighted as a key factor in patient safety. Arising from an ethnographic study of safety culture in the delivery suites of four UK hospitals, the aim of this study is to describe the main mechanisms supporting team situation awareness (TSA) and examine contrasting configurations of supports. Stage I: 177 hours of lightly structured non-participant observation (sensitizing concepts: safety culture, non-technical skills, teamwork and decision making) analysed to identify a core organizing concept, main supporting categories and preliminary conceptual models. Stage II: (approximately 11 months after first observations) 104 hours of observation to test and elaborate stage I analyses. Handover, whiteboard use and a coordinator role emerged as the key processes facilitating work and team coordination. The interplay between these supporting processes and the contextual features of each site promoted or inhibited TSA. Three configurations of supports for TSA were evident. These are described. Context configurations of supporting mechanisms and artefacts influence TSA, with implications for the maintenance of patient safety on delivery suites. A balanced model of supports for TSA is commended. Examining contrasting configurations helps reveal how local mechanisms or organizational, environmental and temporal factors might be manipulated to improve TSA.

Expert system for maintenance management of a boiling water reactor power plant

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hong Shen; Liou, L.W.; Levine, S.

1992-01-01

An expert system code has been developed for the maintenance of two boiling water reactor units in Berwick, Pennsylvania, that are operated by the Pennsylvania Power and Light Company (PP and L). The objective of this expert system code, where the knowledge of experienced operators and engineers is captured and implemented, is to support the decisions regarding which components can be safely and reliably removed from service for maintenance. It can also serve as a query-answering facility for checking the plant system status and for training purposes. The operating and maintenance information of a large number of support systems, whichmore » must be available for emergencies and/or in the event of an accident, is stored in the data base of the code. It identifies the relevant technical specifications and management rules for shutting down any one of the systems or removing a component from service to support maintenance. Because of the complexity and time needed to incorporate a large number of systems and their components, the first phase of the expert system develops a prototype code, which includes only the reactor core isolation coolant system, the high-pressure core injection system, the instrument air system, the service water system, and the plant electrical system. The next phase is scheduled to expand the code to include all other systems. This paper summarizes the prototype code and the design concept of the complete expert system code for maintenance management of all plant systems and components.« less

A Guide to the Management and Maintenance of School Grounds.

ERIC Educational Resources Information Center

Wood, Joan; Littlewood, Michael

This guidebook helps schools identify their maintenance requirements, choose the best organizational model of maintenance to ensure they receive a good quality service for their money, and help teachers and administrators achieve whole school awareness and commitment to school maintenance management. Sections address evaluating a school's…

Quality of life analyses from the randomized, open-label, phase III PointBreak study of pemetrexed-carboplatin-bevacizumab followed by maintenance pemetrexed-bevacizumab versus paclitaxel-carboplatin-bevacizumab followed by maintenance bevacizumab in patients with stage IIIB or IV nonsquamous non-small-cell lung cancer.

PubMed

Spigel, David R; Patel, Jyoti D; Reynolds, Craig H; Garon, Edward B; Hermann, Robert C; Govindan, Ramaswamy; Olsen, Mark R; Winfree, Katherine B; Chen, Jian; Liu, Jingyi; Guba, Susan C; Socinski, Mark A; Bonomi, Philip

2015-02-01

Treatment impact on quality of life (QoL) informs treatment management decisions in advanced nonsquamous non-small-cell lung cancer (NS NSCLC). QoL outcomes from the phase III PointBreak trial are reported. Chemonaive patients (n = 939) with stage IIIB/IV nonsquamous non-small-cell lung cancer and Eastern Cooperative Oncology Group performance status 0 to 1 were randomized (1:1) to pemetrexed-carboplatin-bevacizumab (pemetrexed arm) or paclitaxel-carboplatin-bevacizumab (paclitaxel arm). Patients without progressive disease received maintenance pemetrexed-bevacizumab (pemetrexed arm) or bevacizumab (paclitaxel arm). QoL was assessed using Functional Assessment of Cancer Therapy (FACT)-General (FACT-G), FACT-Lung (FACT-L), and FACT/Gynecologic Oncology Group-Neurotoxicity (FACT-Ntx) instruments. Subscale scores, total scores, and trial outcome indices were analyzed using linear mixed-effects models. Post hoc analyses examined the association between baseline FACT scores and overall survival (OS). Mean score differences in change from baseline significantly favored the pemetrexed arm for the neurotoxicity subscale score, FACT-Ntx total scores, and FACT-Ntx trial outcome index. They occurred at cycle 2 (p < 0.001) and persisted through induction cycles 2 to 4 and six maintenance cycles. Investigator-assessed, qualitative, drug-related differences in grade 2 (1.6% versus 10.6%) and grade 3 (0.0% versus 4.1%) sensory neuropathy and grade 3/4 fatigue (10.9% versus 5.0%, p = 0.0012) were observed between the pemetrexed and paclitaxel arms. Baseline FACT-G, FACT-L, and FACT-Ntx scores were significant prognostic factors for OS (p < 0.001). Randomized patients reported similar changes in QoL, except for less change from baseline in neurotoxicity on the pemetrexed arm; investigators reported greater neurotoxicity on the paclitaxel arm and greater fatigue on the pemetrexed arm. Higher baseline FACT scores were favorable prognostic factors for OS.

Economic, Demographic, and Sociological Factors Influencing the Geographic Mobility of Young Workers.

ERIC Educational Resources Information Center

Smith, Lewis H.

Geographic mobility of the labor force is an adjustment mechanism essential to the maintenance of a growing economy which is undergoing technological change and a rising educational level. This study analyzes the factors which influence mobility decisions to determine whether these choices are made on the basis of rational economic motives. To…

A Comparative Study of Book and Journal Use in Four Social Science Disciplines

ERIC Educational Resources Information Center

Sutton, Allison M.; Jacoby, JoAnn

2008-01-01

Academic librarians are challenged with development and maintenance of collections of research materials in various formats. Although it is assumed that they are monitoring the needs of their constituencies as a part of the collection management decision-making process, the literature reflects only a few studies that focus on direct solicitation…

Recreation Use of the Ocala National Forest in Florida

Treesearch

George A. James; Robert A. Harper

1965-01-01

Forest land managers charged with operating and developing an outdoor recreation complex--whether large or small, public or private - constantly face a host of management decisions. What are my cleanup and maintenance needs? What uses and facilities should be provided? Should I expand? Should I add new units? These questions are not easy to answer. And before sound...

Cost Effectiveness of Individual versus Group Cognitive Behavior Therapy for Problems of Depression and Anxiety in an HMO Population.

ERIC Educational Resources Information Center

Shapiro, Joan; And Others

1982-01-01

Compared the cost effectiveness of cognitive behavior group therapy, traditional process-oriented interpersonal group, and individual cognitive behavior therapy in dealing with depression and anxiety in a health maintenance organization population (N=44). Results suggest that cost considerations can become relatively important when decisions are…

Trends in federal land acquisition, protection strategies, and planning

Treesearch

Warren Brown

1980-01-01

In the past, Federal land acquisition has been one of the most popular ways to protect outstanding natural resources and provide recreational opportunities. Federal purchase, maintenance, and operation can help take pressure off the State or local budget. Federal involvement also can provide a way for local officials to avoid making some tough decisions about...

Higher Education Weighs the Impact of a Ruling on Gender Equity in Sports.

ERIC Educational Resources Information Center

Naughton, Jim

1996-01-01

In Cohen vs. Brown University, a federal appeals court upheld a ruling favoring maintenance of college women's sports programs. The decision makes it clear that institutions should equalize athletic opportunities for men and women, but fails to resolve the debate over whether anti-discrimination statutes require numerical parity between men and…

Service contract with periodic preventive maintenance for a dump truck sold with a two-dimensional warranty

NASA Astrophysics Data System (ADS)

Nasrum, A.; Pasaribu, U. S.; Husniah, H.

2016-02-01

This paper deals with maintenance service contract for a dump truck sold with a two-dimensional warranties. We consider a situation where an agent offers two maintenance contract options and the owner of the equipment has to select the optimal option either the OEM carried out all repairs and preventive maintenance activities (option one) or the OEM only carries out failure while the costumer undertakes preventive maintenance action in-house (option two). As the number of preventive maintenance and corrective maintenance that occurs in the area of servicing contracts is very influential in determining the value of the contract, we have to determine the optimal time between preventive maintenance that can minimize the cost of repair in the contract area. Moreover, we also study the maintenance service contract considering reduction of the intensity function after preventive maintenance from both the owner and OEM point of views. In this paper, we use a Weibull intensity function to consider a product with increasing failure intensity. We use a non-cooperative game formulation to determine the optimal price structure (i.e., the contract price and repair cost) for the OEM and the owner. A numerical example derived from the model has shown that if the owner choose option one then the owner obtain a higher profit compared with the profit resulted from option two. The result agree with earlier work which uses the accelerated failure time (AFT) for the failure modeling, while here we model the failure of the dump truck without the use of the AFT.

Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.

PubMed

Tu, S W; Eriksson, H; Gennari, J H; Shahar, Y; Musen, M A

1995-06-01

PROTEGE-II is a suite of tools and a methodology for building knowledge-based systems and domain-specific knowledge-acquisition tools. In this paper, we show how PROTEGE-II can be applied to the task of providing protocol-based decision support in the domain of treating HIV-infected patients. To apply PROTEGE-II, (1) we construct a decomposable problem-solving method called episodic skeletal-plan refinement, (2) we build an application ontology that consists of the terms and relations in the domain, and of method-specific distinctions not already captured in the domain terms, and (3) we specify mapping relations that link terms from the application ontology to the domain-independent terms used in the problem-solving method. From the application ontology, we automatically generate a domain-specific knowledge-acquisition tool that is custom-tailored for the application. The knowledge-acquisition tool is used for the creation and maintenance of domain knowledge used by the problem-solving method. The general goal of the PROTEGE-II approach is to produce systems and components that are reusable and easily maintained. This is the rationale for constructing ontologies and problem-solving methods that can be composed from a set of smaller-grained methods and mechanisms. This is also why we tightly couple the knowledge-acquisition tools to the application ontology that specifies the domain terms used in the problem-solving systems. Although our evaluation is still preliminary, for the application task of providing protocol-based decision support, we show that these goals of reusability and easy maintenance can be achieved. We discuss design decisions and the tradeoffs that have to be made in the development of the system.

Advance Directives and End-of-Life Care among Nursing Home Residents Receiving Maintenance Dialysis

PubMed Central

Montez-Rath, Maria E.; Hall, Yoshio N.; Katz, Ronit; O’Hare, Ann M.

2017-01-01

Background and objectives Little is known about the relation between the content of advance directives and downstream treatment decisions among patients receiving maintenance dialysis. In this study, we determined the prevalence of advance directives specifying treatment limitations and/or surrogate decision-makers in the last year of life and their association with end-of-life care among nursing home residents. Design, setting, participants, & measurements Using national data from 2006 to 2007, we compared the content of advance directives among 30,716 nursing home residents receiving dialysis to 30,825 nursing home residents with other serious illnesses during the year before death. Among patients receiving dialysis, we linked the content of advance directives to Medicare claims to ascertain site of death and treatment intensity in the last month of life. Results In the last year of life, 36% of nursing home residents receiving dialysis had a treatment-limiting directive, 22% had a surrogate decision-maker, and 13% had both in adjusted analyses. These estimates were 13%–27%, 5%–11%, and 6%–13% lower, respectively, than for decedents with other serious illnesses. For patients receiving dialysis who had both a treatment-limiting directive and surrogate decision-maker, the adjusted frequency of hospitalization, intensive care unit admission, intensive procedures, and inpatient death were lower by 13%, 17%, 13%, and 14%, respectively, and hospice use and dialysis discontinuation were 5% and 7% higher compared with patients receiving dialysis lacking both components. Conclusions Among nursing home residents receiving dialysis, treatment-limiting directives and surrogates were associated with fewer intensive interventions and inpatient deaths, but were in place much less often than for nursing home residents with other serious illnesses. PMID:28057703

The impact of expert knowledge on natural hazard susceptibility assessment using spatial multi-criteria analysis

NASA Astrophysics Data System (ADS)

Karlsson, Caroline; Kalantari, Zahra; Mörtberg, Ulla; Olofsson, Bo; Lyon, Steve

2016-04-01

Road and railway networks are one of the key factors to a country's economic growth. Inadequate infrastructural networks could be detrimental to a society if the transport between locations are hindered or delayed. Logistical hindrances can often be avoided whereas natural hindrances are more difficult to control. One natural hindrance that can have a severe adverse effect on both infrastructure and society is flooding. Intense and heavy rainfall events can trigger other natural hazards such as landslides and debris flow. Disruptions caused by landslides are similar to that of floods and increase the maintenance cost considerably. The effect on society by natural disasters is likely to increase due to a changed climate with increasing precipitation. Therefore, there is a need for risk prevention and mitigation of natural hazards. Determining susceptible areas and incorporating them in the decision process may reduce the infrastructural harm. Spatial multi-criteria analysis (SMCA) is a part of decision analysis, which provides a set of procedures for analysing complex decision problems through a Geographic Information System (GIS). The objective and aim of this study was to evaluate the usefulness of expert judgements for inundation, landslide and debris flow susceptibility assessments through a SMCA approach using hydrological, geological and land use factors. The sensitivity of the SMCA model was tested in relation to each perspective and impact on the resulting susceptibility. A least cost path function was used to compare new alternative road lines with the existing ones. This comparison was undertaken to identify the resulting differences in the susceptibility assessments using expert judgements as well as historic incidences of flooding and landslides in order to discuss the usefulness of the model in road planning.

Optimal manpower allocation in aircraft line maintenance (Case in GMF AeroAsia)

NASA Astrophysics Data System (ADS)

Puteri, V. E.; Yuniaristanto, Hisjam, M.

2017-11-01

This paper presents a mathematical modeling to find the optimal manpower allocation in an aircraft line maintenance. This research focuses on assigning the number and type of manpower that allocated to each service. This study considers the licenced worker or Aircraft Maintenance Engineer Licence (AMEL) and non licenced worker or Aircraft Maintenance Technician (AMT). In this paper, we also consider the relationship of each station in terms of the possibility to transfer the manpower among them. The optimization model considers the number of manpowers needed for each service and the requirement of AMEL worker. This paper aims to determine the optimal manpower allocation using the mathematical modeling. The objective function of the model is to find the minimum employee expenses. The model was solved using the ILOG CPLEX software. The results show that the manpower allocation can meet the manpower need and the all load can be served.

Health maintenance organization penetration and the practice location choices of new physicians: a study of large metropolitan areas in the United States.

PubMed

Escarce, J J; Polsky, D; Wozniak, G D; Pauly, M V; Kletke, P R

1998-11-01

The rapid growth of health maintenance organizations is reshaping the practice opportunities available to physicians. The practice location decisions of new physicians provide a sensitive bellwether of these changes. This study assessed the effect of health maintenance organization penetration on practice location for physicians completing graduate medical education (GME). Conditional logit regression analysis was used to determine the effect of health maintenance organization penetration on practice location, controlling for other market characteristics. Subjects were physicians who finished GME between 1989 and 1994 and who located in one of the 98 US metropolitan areas with more than 500,000 population. The outcome measure was the particular metropolitan area chosen by each new physician. Early in the study period, new generalists were significantly more likely to locate in metropolitan areas with high health maintenance organization penetration than in low penetration areas, whereas new specialists' practice location choices were not associated with health maintenance organization penetration. The likelihood of choosing a high penetration relative to a low penetration area declined with time, however, for both generalists and specialists. Consequently, by the end of the study period, health maintenance organization penetration had a weak but significant negative effect on practice location for generalists and a strong negative influence on practice location for specialists. New generalists who completed graduate medical education between 1989 and 1994 were more likely than new specialists to locate in market areas with high health maintenance organization penetration; however, the proportions of both generalists and specialists who chose high penetration areas decreased during the study period. This finding may reflect reduced practice opportunities in high penetration areas relative to low penetration areas as health maintenance organizations' systems for controlling utilization began to yield results. Alternatively, new physicians may have become more hesitant to accept available positions in high penetration areas.

Impaired decision-making under risk is associated with gaming-specific inhibition deficits among college students with Internet gaming disorder.

PubMed

Yao, Yuan-Wei; Wang, Ling-Jiao; Yip, Sarah W; Chen, Pin-Ru; Li, Song; Xu, Jiansong; Zhang, Jin-Tao; Deng, Lin-Yuan; Liu, Qin-Xue; Fang, Xiao-Yi

2015-09-30

A growing body of evidence indicates that both inhibition and decision-making deficits play essential roles in the development and maintenance of Internet gaming disorder (IGD). Clarifying whether impaired decision-making among individuals with IGD is related to poor inhibition will advance our understanding of IGD and contribute to intervention development. However, the relationship between these two functions remains unclear. In this study, we sought to systemically examine inhibitory processes, decision-making and the relationship between the two among individuals with IGD. Thirty-four individuals with IGD and 32 matched healthy controls (HCs) were recruited. In comparison to HCs, IGD subjects demonstrated inhibition deficits during performance of the gaming-related Go/No-Go task and impaired decision-making under risk. In addition, errors on No-Go trials during the gaming-related Go/No-Go task were positively associated with decision-making impairments under risk but not under ambiguity among IGD subjects. These results suggest individuals with IGD are impaired in some aspects of inhibition and decision-making functions, and that decision-making deficits under risk are linked to poor inhibition specifically related to gaming cues, which has implications for the development of novel intervention. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Higher threat avoidance costs reduce avoidance behaviour which in turn promotes fear extinction in humans.

PubMed

Rattel, Julina A; Miedl, Stephan F; Blechert, Jens; Wilhelm, Frank H

2017-09-01

Theoretical models specifying the underlying mechanisms of the development and maintenance of anxiety and related disorders state that fear responses acquired through classical Pavlovian conditioning are maintained by repeated avoidance behaviour; thus, it is assumed that avoidance prevents fear extinction. The present study investigated behavioural avoidance decisions as a function of avoidance costs in a naturalistic fear conditioning paradigm. Ecologically valid avoidance costs - manipulated between participant groups - were represented via time-delays during a detour in a gamified computer task. After differential acquisitions of shock-expectancy to a predictive conditioned stimulus (CS+), participants underwent extinction where they could either take a risky shortcut, while anticipating shock signaled by the CS+, or choose a costly avoidance option (lengthy detour); thus, they were faced with an approach-avoidance conflict. Groups with higher avoidance costs (longer detours) showed lower proportions of avoiders. Avoiders gave heightened shock-expectancy ratings post-extinction, demonstrating 'protecting from extinction', i.e. failure to extinguish. Moreover, there was an indirect effect of avoidance costs on protection from extinction through avoidance behaviour. No moderating role of trait-anxiety was found. Theoretical implications of avoidance behaviour are discussed, considering the involvement of instrumental learning in the maintenance of fear responses. Copyright © 2016 Elsevier Ltd. All rights reserved.

Developing Mobile- and BIM-Based Integrated Visual Facility Maintenance Management System

PubMed Central

Su, Yu-Chih

2013-01-01

Facility maintenance management (FMM) has become an important topic for research on the operation phase of the construction life cycle. Managing FMM effectively is extremely difficult owing to various factors and environments. One of the difficulties is the performance of 2D graphics when depicting maintenance service. Building information modeling (BIM) uses precise geometry and relevant data to support the maintenance service of facilities depicted in 3D object-oriented CAD. This paper proposes a new and practical methodology with application to FMM using BIM technology. Using BIM technology, this study proposes a BIM-based facility maintenance management (BIMFMM) system for maintenance staff in the operation and maintenance phase. The BIMFMM system is then applied in selected case study of a commercial building project in Taiwan to verify the proposed methodology and demonstrate its effectiveness in FMM practice. Using the BIMFMM system, maintenance staff can access and review 3D BIM models for updating related maintenance records in a digital format. Moreover, this study presents a generic system architecture and its implementation. The combined results demonstrate that a BIMFMM-like system can be an effective visual FMM tool. PMID:24227995

A Framework for Comprehensive Health Terminology Systems in the United States

PubMed Central

Chute, Christopher G.; Cohn, Simon P.; Campbell, James R.

1998-01-01

Health care in the United States has become an information-intensive industry, yet electronic health records represent patient data inconsistently for lack of clinical data standards. Classifications that have achieved common acceptance, such as the ICD-9-CM or ICD, aggregate heterogeneous patients into broad categories, which preclude their practical use in decision support, development of refined guidelines, or detailed comparison of patient outcomes or benchmarks. This document proposes a framework for the integration and maturation of clinical terminologies that would have practical applications in patient care, process management, outcome analysis, and decision support. Arising from the two working groups within the standards community—the ANSI (American National Standards Institute) Healthcare Informatics Standards Board Working Group and the Computer-based Patient Records Institute Working Group on Codes and Structures—it outlines policies regarding 1) functional characteristics of practical terminologies, 2) terminology models that can broaden their applications and contribute to their sustainability, 3) maintenance attributes that will enable terminologies to keep pace with rapidly changing health care knowledge and process, and 4) administrative issues that would facilitate their accessibility, adoption, and application to improve the quality and efficiency of American health care. PMID:9824798

Evaluation of purchase intention of customers in two wheeler automobile segment: AHP and TOPSIS

NASA Astrophysics Data System (ADS)

Sri Yogi, Kottala

2018-03-01

Winning heart of customers is preeminent main design of any business organization in global business environment. This paper explored customer’s priorities while purchasing a two wheeler automobile segment using Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as a multi criteria decision making tools to accomplish the research objectives. Study has been done to analyze different criteria to be considered during purchasing of two wheeler automobiles among respondents using structured questionnaire based on SAATY scale. Based on our previous work on empirical & fuzzy logic approach to product quality and purchase intention of customers in two wheeler- operational, performance, economic, brand value and maintenance aspects are considered as decision criteria of customers while purchasing a two wheeler. The study suggests high pick up during overtaking, petrol saving, reasonable spare parts price, unique in design and identity and easy to change gear as main criterion in purchasing process. We also found some leading two wheeler automobiles models available in Indian market using some objective function criterion in choosing some important characteristics like price, cylinder capacity, brake horse power and weight during purchasing process of two wheeler automobile in Indian market based on respondents perception.

Optimization of monitoring and inspections in the life-cycle of wind turbines

NASA Astrophysics Data System (ADS)

Hanish Nithin, Anu; Omenzetter, Piotr

2016-04-01

The past decade has witnessed a surge in the offshore wind farm developments across the world. Although this form of cleaner and greener energy is beneficial and eco-friendly, the production of wind energy entails high life-cycle costs. The costs associated with inspections, monitoring and repairs of wind turbines are primary contributors to the high costs of electricity produced in this way and are disadvantageous in today's competitive economic environment. There is limited research being done in the probabilistic optimization of life-cycle costs of offshore wind turbines structures and their components. This paper proposes a framework for assessing the life cycle cost of wind turbine structures subject to damage and deterioration. The objective of the paper is to develop a mathematical probabilistic cost assessment framework which considers deterioration, inspection, monitoring, repair and maintenance models and their uncertainties. The uncertainties are etched in the accuracy and precision of the monitoring and inspection methods and can be considered through the probability of damage detection of each method. Schedules for inspection, monitoring and repair actions are demonstrated using a decision tree. Examples of a generalised deterioration process integrated with the cost analysis using a decision tree are shown for a wind turbine foundation structure.

Citizen centered health and lifestyle management via interactive TV: The PANACEIA-ITV health system.

PubMed

Maglaveras, N; Chouvarda, I; Koutkias, V; Lekka, I; Tsakali, M; Tsetoglou, S; Maglavera, S; Leondaridis, L; Zeevi, B; Danelli, V; Kotis, T; De Moore, G; Balas, E A

2003-01-01

In the context of an IST European project with acronym PANACEIA-ITV, a home care service provisioning system is described, based on interactive TV technology. The purpose of PANACEIA-ITV is to facilitate essential lifestyle changes and to promote compliance with scientifically sound self-care recommendations, through the application of interactive digital television for family health maintenance. The means to achieve these goals are based on technological, health services and business models. PANACEIA-ITV is looking for communication of monitoring micro-devices with I-TV set-top-boxes using infrared technology, and embodiment of analogous H/W and S/W in the I-TV set-top-boxes. Intelligent agents are used to regulate data flow, user queries as well as service provisions from and to the household through the satellite digital platform, the portal and the back-end decision support mechanisms, using predominantly the Active Service Provision (ASP) model. Moreover, interactive digital TV services are developed for the delivery of health care in the home care environment.

Wireless Concrete Strength Monitoring of Wind Turbine Foundations.

PubMed

Perry, Marcus; Fusiek, Grzegorz; Niewczas, Pawel; Rubert, Tim; McAlorum, Jack

2017-12-16

Wind turbine foundations are typically cast in place, leaving the concrete to mature under environmental conditions that vary in time and space. As a result, there is uncertainty around the concrete's initial performance, and this can encourage both costly over-design and inaccurate prognoses of structural health. Here, we demonstrate the field application of a dense, wireless thermocouple network to monitor the strength development of an onshore, reinforced-concrete wind turbine foundation. Up-to-date methods in fly ash concrete strength and maturity modelling are used to estimate the distribution and evolution of foundation strength over 29 days of curing. Strength estimates are verified by core samples, extracted from the foundation base. In addition, an artificial neural network, trained using temperature data, is exploited to demonstrate that distributed concrete strengths can be estimated for foundations using only sparse thermocouple data. Our techniques provide a practical alternative to computational models, and could assist site operators in making more informed decisions about foundation design, construction, operation and maintenance.

Wireless Concrete Strength Monitoring of Wind Turbine Foundations

PubMed Central

Niewczas, Pawel; Rubert, Tim

2017-01-01

Wind turbine foundations are typically cast in place, leaving the concrete to mature under environmental conditions that vary in time and space. As a result, there is uncertainty around the concrete’s initial performance, and this can encourage both costly over-design and inaccurate prognoses of structural health. Here, we demonstrate the field application of a dense, wireless thermocouple network to monitor the strength development of an onshore, reinforced-concrete wind turbine foundation. Up-to-date methods in fly ash concrete strength and maturity modelling are used to estimate the distribution and evolution of foundation strength over 29 days of curing. Strength estimates are verified by core samples, extracted from the foundation base. In addition, an artificial neural network, trained using temperature data, is exploited to demonstrate that distributed concrete strengths can be estimated for foundations using only sparse thermocouple data. Our techniques provide a practical alternative to computational models, and could assist site operators in making more informed decisions about foundation design, construction, operation and maintenance. PMID:29258176

A Capacity Forecast Model for Volatile Data in Maintenance Logistics

NASA Astrophysics Data System (ADS)

Berkholz, Daniel

2009-05-01

Maintenance, repair and overhaul processes (MRO processes) are elaborate and complex. Rising demands on these after sales services require reliable production planning and control methods particularly for maintaining valuable capital goods. Downtimes lead to high costs and an inability to meet delivery due dates results in severe contract penalties. Predicting the required capacities for maintenance orders in advance is often difficult due to unknown part conditions unless the goods are actually inspected. This planning uncertainty results in extensive capital tie-up by rising stock levels within the whole MRO network. The article outlines an approach to planning capacities when maintenance data forecasting is volatile. It focuses on the development of prerequisites for a reliable capacity planning model. This enables a quick response to maintenance orders by employing appropriate measures. The information gained through the model is then systematically applied to forecast both personnel capacities and the demand for spare parts. The improved planning reliability can support MRO service providers in shortening delivery times and reducing stock levels in order to enhance the performance of their maintenance logistics.

Evaluation of Uncertainty and Sensitivity in Environmental Modeling at a Radioactive Waste Management Site

NASA Astrophysics Data System (ADS)

Stockton, T. B.; Black, P. K.; Catlett, K. M.; Tauxe, J. D.

2002-05-01

Environmental modeling is an essential component in the evaluation of regulatory compliance of radioactive waste management sites (RWMSs) at the Nevada Test Site in southern Nevada, USA. For those sites that are currently operating, further goals are to support integrated decision analysis for the development of acceptance criteria for future wastes, as well as site maintenance, closure, and monitoring. At these RWMSs, the principal pathways for release of contamination to the environment are upward towards the ground surface rather than downwards towards the deep water table. Biotic processes, such as burrow excavation and plant uptake and turnover, dominate this upward transport. A combined multi-pathway contaminant transport and risk assessment model was constructed using the GoldSim modeling platform. This platform facilitates probabilistic analysis of environmental systems, and is especially well suited for assessments involving radionuclide decay chains. The model employs probabilistic definitions of key parameters governing contaminant transport, with the goals of quantifying cumulative uncertainty in the estimation of performance measures and providing information necessary to perform sensitivity analyses. This modeling differs from previous radiological performance assessments (PAs) in that the modeling parameters are intended to be representative of the current knowledge, and the uncertainty in that knowledge, of parameter values rather than reflective of a conservative assessment approach. While a conservative PA may be sufficient to demonstrate regulatory compliance, a parametrically honest PA can also be used for more general site decision-making. In particular, a parametrically honest probabilistic modeling approach allows both uncertainty and sensitivity analyses to be explicitly coupled to the decision framework using a single set of model realizations. For example, sensitivity analysis provides a guide for analyzing the value of collecting more information by quantifying the relative importance of each input parameter in predicting the model response. However, in these complex, high dimensional eco-system models, represented by the RWMS model, the dynamics of the systems can act in a non-linear manner. Quantitatively assessing the importance of input variables becomes more difficult as the dimensionality, the non-linearities, and the non-monotonicities of the model increase. Methods from data mining such as Multivariate Adaptive Regression Splines (MARS) and the Fourier Amplitude Sensitivity Test (FAST) provide tools that can be used in global sensitivity analysis in these high dimensional, non-linear situations. The enhanced interpretability of model output provided by the quantitative measures estimated by these global sensitivity analysis tools will be demonstrated using the RWMS model.

Joint optimization of maintenance, buffers and machines in manufacturing lines

NASA Astrophysics Data System (ADS)

Nahas, Nabil; Nourelfath, Mustapha

2018-01-01

This article considers a series manufacturing line composed of several machines separated by intermediate buffers of finite capacity. The goal is to find the optimal number of preventive maintenance actions performed on each machine, the optimal selection of machines and the optimal buffer allocation plan that minimize the total system cost, while providing the desired system throughput level. The mean times between failures of all machines are assumed to increase when applying periodic preventive maintenance. To estimate the production line throughput, a decomposition method is used. The decision variables in the formulated optimal design problem are buffer levels, types of machines and times between preventive maintenance actions. Three heuristic approaches are developed to solve the formulated combinatorial optimization problem. The first heuristic consists of a genetic algorithm, the second is based on the nonlinear threshold accepting metaheuristic and the third is an ant colony system. The proposed heuristics are compared and their efficiency is shown through several numerical examples. It is found that the nonlinear threshold accepting algorithm outperforms the genetic algorithm and ant colony system, while the genetic algorithm provides better results than the ant colony system for longer manufacturing lines.

Analysis of total productive maintenance (TPM) implementation using overall equipment effectiveness (OEE) and six big losses: A case study

NASA Astrophysics Data System (ADS)

Martomo, Zenithia Intan; Laksono, Pringgo Widyo

2018-02-01

In improving the productivity of the machine, the management of the decision or maintenance policy must be appropriate. In Spinning II unit at PT Apac Inti Corpora, there are 124 ring frame machines that often have breakdown and cause a high downtime so that the production target is not achieved, so this research was conducted on the ring frame machine. This study aims to measure the value of equipment effectiveness, find the root cause of the problem and provide suggestions for improvement. This research begins with measuring the achievement of overall equipment effectiveness (OEE) value, then identifying the six big losses that occur. The results show that the average value of OEE in the ring frame machine is 79.96%, the effectiveness value is quite low because the standard of OEE value for world class company ideally is 85%. The biggest factor that influences the low value of OEE is performance rate with percentage factor six big losses at reduced speed losses of 17.303% of all time loss. Proposed improvement actions are the application of autonomous maintenance, providing training for operators and maintenance technicians and supervising operators in the workplace.

Fleet equipment performance measure preventive maintenance model.

DOT National Transportation Integrated Search

2013-02-28

The Texas Department of Transportation : (TxDOT) operates a large fleet of on-road and : off-road equipment. Consequently, fleet : maintenance procedures (specifically preventive : maintenance such as oil changes) represent a : significant cost to th...

Elements of a Green Infrastructure Maintenance Business Plan for Milwaukee WI

EPA Pesticide Factsheets

This report reflects the feedback provided by MMSD and local stakeholders about different business models for conducting maintenance. The findings from this process will inform a maintenance plan for the region.

Why do People Hurt Themselves? New Insights Into the Nature and Functions of Self-Injury

PubMed Central

Nock, Matthew K.

2009-01-01

Nonsuicidal self-injury (NSSI) is a prevalent but perplexing behavior problem in which people deliberately harm themselves without lethal intent. Research reveals that NSSI typically has its onset during early adolescence; most often involves cutting or carving the skin; and appears equally prevalent across sexes, ethnicities, and socioeconomic statuses. Less is known about why people engage in NSSI. This article presents a theoretical model of the development and maintenance of NSSI. Rather than a symptom of mental disorder, NSSI is conceptualized as a harmful behavior that can serve several intrapersonal (e.g., affect regulation) and interpersonal (e.g., help-seeking) functions. Risk of NSSI is increased by general factors that contribute to problems with affect regulation or interpersonal communication (e.g., childhood abuse) and by specific factors that influence the decision to use NSSI rather than some other behavior to serve these functions (e.g., social modeling). This model synthesizes research from several different areas of the literature and points toward several lines of research needed to further advance the understanding of why people hurt themselves. PMID:20161092

The Consistency and Reporting of Quality-of-Life Outcomes in Trials of Immunosuppressive Agents in Kidney Transplantation: A Systematic Review and Meta-analysis.

PubMed

Howell, Martin; Wong, Germaine; Turner, Robin M; Tan, Ho Teck; Tong, Allison; Craig, Jonathan C; Howard, Kirsten

2016-05-01

Shared decision making regarding immunosuppression in kidney transplantation requires an understanding of effects on quality of life (QoL). Our aim was to review the frequency and reliability of QoL measures reported in randomized controlled trials of maintenance immunosuppression following kidney transplantation. Systematic literature review. Kidney transplant recipients enrolled in randomized trials of maintenance immunosuppression. Systematic search of the Cochrane Kidney and Transplant register, CENTRAL, MEDLINE, EMBASE, PsycINFO, and CINAHL databases to January 2014 identifying maintenance immunosuppression trials. An EQUATOR Network-endorsed checklist was used to assess QoL reporting and effect sizes estimated. Maintenance immunosuppression (comparative studies, dose adjustment, and agent withdrawal). Any quantitative patient-reported measure of physical, emotional, or social well-being. Of 2,272 reports, 41 (2%; involving 4,549 participants from 23 trials) included QoL outcomes using 22 instruments (8 generic, 2 disease specific, and 12 symptom specific). Reporting was incomplete for the majority with 1 (4%) addressing all 11 items of the checklist, 4 (17%) addressing clinical significance, and 15 (65%) reporting outcomes selectively. Almost all (n = 96 [95%]) effect size estimates for 101 QoL outcomes (18 trials; 3,919 participants) favored the interventions, with 37 (37%) statistically significant. In comparison, 30 (73%) clinical outcomes favored the intervention and 13 (31%) were significant. QoL outcomes are commonly secondary outcomes and may not be indexed or found using text word searches. Effect sizes were estimated from different QoL measures, populations, and interventions. The small number of trials limits the ability to identify statistically significant associations between effect size and study-/patient-related factors. QoL is infrequently reported in immunosuppression trials in kidney transplantation, appears subject to major biases, and thus may be unreliable for decision making. Copyright © 2016 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Augmented reality application utility for aviation maintenance work instruction

NASA Astrophysics Data System (ADS)

Pourcho, John Bryan

Current aviation maintenance work instructions do not display information effectively enough to prevent costly errors and safety concerns. Aircraft are complex assemblies of highly interrelated components that confound troubleshooting and can make the maintenance procedure difficult (Drury & Gramopadhye, 2001). The sophisticated nature of aircraft maintenance necessitates a revolutionized training intervention for aviation maintenance technicians (United States General Accounting Office, 2003). Quite simply, the paper based job task cards fall short of offering rapid access to technical data and the system or component visualization necessary for working on complex integrated aircraft systems. Possible solutions to this problem include upgraded standards for paper based task cards and the use of integrated 3D product definition used on various mobile platforms (Ropp, Thomas, Lee, Broyles, Lewin, Andreychek, & Nicol, 2013). Previous studies have shown that incorporation of 3D graphics in work instructions allow the user to more efficiently and accurately interpret maintenance information (Jackson & Batstone, 2008). For aircraft maintenance workers, the use of mobile 3D model-based task cards could make current paper task card standards obsolete with their ability to deliver relevant, synchronized information to and from the hangar. Unlike previous versions of 3D model-based definition task cards and paper task cards, which are currently used in the maintenance industry, 3D model based definition task cards have the potential to be more mobile and accessible. Utilizing augmented reality applications on mobile devices to seamlessly deliver 3D product definition on mobile devices could increase the efficiency, accuracy, and reduce the mental workload for technicians when performing maintenance tasks (Macchiarella, 2004). This proposal will serve as a literary review of the aviation maintenance industry, the spatial ability of maintenance technicians, and benefits of modern digital hardware to educate, point out gaps in research, and observe possible foundations on which to build the future of aviation maintenance job task cards leading to a the methodology of the proposed study.

The Situation-Specific Theory of Heart Failure Self-Care: Revised and Updated.

PubMed

Riegel, Barbara; Dickson, Victoria Vaughan; Faulkner, Kenneth M

2016-01-01

Since the situation-specific theory of heart failure (HF) self-care was published in 2008, we have learned much about how and why patients with HF take care of themselves. This knowledge was used to revise and update the theory. The purpose of this article was to describe the revised, updated situation-specific theory of HF self-care. Three major revisions were made to the existing theory: (1) a new theoretical concept reflecting the process of symptom perception was added; (2) each self-care process now involves both autonomous and consultative elements; and (3) a closer link between the self-care processes and the naturalistic decision-making process is described. In the revised theory, HF self-care is defined as a naturalistic decision-making process with person, problem, and environmental factors that influence the everyday decisions made by patients and the self-care actions taken. The first self-care process, maintenance, captures those behaviors typically referred to as treatment adherence. The second self-care process, symptom perception, involves body listening, monitoring signs, as well as recognition, interpretation, and labeling of symptoms. The third self-care process, management, is the response to symptoms when they occur. A total of 5 assumptions and 8 testable propositions are specified in this revised theory. Prior research illustrates that all 3 self-care processes (ie, maintenance, symptom perception, and management) are integral to self-care. Further research is greatly needed to identify how best to help patients become experts in HF self-care.

Interpretive Structural Model of Key Performance Indicators for Sustainable Maintenance Evaluatian in Rubber Industry

NASA Astrophysics Data System (ADS)

Amrina, E.; Yulianto, A.

2018-03-01

Sustainable maintenance is a new challenge for manufacturing companies to realize sustainable development. In this paper, an interpretive structural model is developed to evaluate sustainable maintenance in the rubber industry. The initial key performance indicators (KPIs) is identified and derived from literature and then validated by academic and industry experts. As a result, three factors of economic, social, and environmental dividing into a total of thirteen indicators are proposed as the KPIs for sustainable maintenance evaluation in rubber industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs consisting of three levels. The results show the economic factor is regarded as the basic factor, the social factor as the intermediate factor, while the environmental factor indicated to be the leading factor. Two indicators of social factor i.e. labor relationship, and training and education have both high driver and dependence power, thus categorized as the unstable indicators which need further attention. All the indicators of environmental factor and one indicator of social factor are indicated as the most influencing indicator. The interpretive structural model hoped can aid the rubber companies in evaluating sustainable maintenance performance.

The feasibility of replacing or upgrading utility distribution transformers during routine maintenance

DOE Office of Scientific and Technical Information (OSTI.GOV)

Barnes, P.R.; Van Dyke, J.W.; McConnell, B.W.

It is estimated that electric utilities use about 40 million distribution transformers in supplying electricity to customers in the United States. Although utility distribution transformers collectively have a high average efficiency, they account for approximately 61 billion kWh of the 229 billion kWh of energy lost annually in the delivery of electricity. Distribution transformers are being replaced over time by new, more efficient, lower-loss units during routine utility maintenance of power distribution systems. Maintenance is typically not performed on units in service. However, units removed from service with appreciable remaining life are often refurbished and returned to stock. Distribution transformersmore » may be removed from service for many reasons, including failure, over- or underloading, or line upgrades such as voltage changes or rerouting. When distribution transformers are removed from service, a decision must be made whether to dispose of the transformer and purchase a lower-loss replacement or to refurbish the transformer and return it to stock for future use. This report contains findings and recommendations on replacing utility distribution transformers during routine maintenance, which is required by section 124(c) of the Energy Policy Act of 1992. The objectives of the study are to evaluate the practicability, cost-effectiveness, and potential energy savings of replacing or upgrading existing transformers during routine utility maintenance and to develop recommendations on was to achieve the potential energy savings.« less

User's Guide for a Computerized Track Maintenance Simulation Cost Methodology

DOT National Transportation Integrated Search

1982-02-01

This User's Guide describes the simulation cost modeling technique developed for costing of maintenance operations of track and its component structures. The procedure discussed provides for separate maintenance cost entries to be associated with def...

Understanding farmers' strategic decision-making processes and the implications for biodiversity conservation policy.

PubMed

Farmar-Bowers, Quentin; Lane, Ruth

2009-02-01

The conservation of biodiversity is an important issue world wide and in Australia the maintenance of native biodiversity on farms makes an important contribution to overall conservation objectives. This paper seeks to explain Australian farmers' rationale for maintaining biodiversity on their farms for personal as opposed to business reasons by developing a decision-systems theory from in-depth interviews. This difference has implications for policy development. The decision-systems theory is divided into two main sections. The first section contains five parts. (1) A hierarchy of motivation stories, (2) the concept of suitability and availability of opportunities, (3) a hierarchy of three decision-systems, (4) the concept of personal career paths, (5) the concept of Lenses. The second section contains one part, a policy classification system called 'boxes of influence' that suggests how policy developers can use the information in the first section to develop new biodiversity conservation policy. The paper suggests that decision-systems theory could be used to shed new light on current trends in agriculture and become an important investigative tool for policy development concerning the conservation of biodiversity on farms.

Assessing trail conditions in protected areas: Application of a problem-assessment method in Great Smoky Mountains National Park, USA

USGS Publications Warehouse

Leung, Y.-F.; Marion, J.

1999-01-01

The degradation of trail resources associated with expanding recreation and tourism visitation is a growing management problem in protected areas worldwide. In order to make judicious trail and visitor management decisions, protected area managers need objective and timely information on trail resource conditions. This paper introduces a trail survey method that efficiently characterizes the lineal extent of common trail problems. The method was applied to a large sample of trails within Great Smoky Mountains National Park, a highuse protected area in the USA. The Trail ProblemAssessment Method (TPAM) employs a continuous search for multiple indicators of predefined tread problems, yielding census data documenting the location, occurrence and extent of each problem. The present application employed 23 different indicators in three categories to gather inventory, resource condition, and design and maintenance data of each surveyed trail. Seventy-two backcountry hiking trails (528 km), or 35% of the Park's total trail length, were surveyed. Soil erosion and wet soil were found to be the two most common impacts on a lineal extent basis. Trails with serious tread problems were well distributed throughout the Park, although wet muddy treads tended to be concentrated in areas where horse use was high. The effectiveness of maintenance features installed to divert water from trail treads was also evaluated. Water bars were found to be more effective than drainage dips. The TPAM was able to provide Park managers with objective and quantitative information for use in trail planning, management and maintenance decisions, and is applicable to other protected areas elsewhere with different environmental and impact characteristics.

Estimating the recreational-use value for hiking in Bellenden Ker National Park, Australia.

PubMed

Nillesen, Eleonora; Wesseler, Justus; Cook, Averil

2005-08-01

The recreational-use value of hiking in the Bellenden Ker National Park, Australia has been estimated using a zonal travel cost model. Multiple destination visitors have been accounted for by converting visitors' own ordinal ranking of the various sites visited to numerical weights, using an expected-value approach. The value of hiking and camping in this national park was found to be dollar AUS 250,825 per year, or dollar AUS 144,45 per visitor per year, which is similar to findings from other studies valuing recreational benefits. The management of the park can use these estimates when considering the introduction of a system of user pays fees. In addition, they might be important when decisions need to be made about the allocation of resources for maintenance or upgrade of tracks and facilities.

Conception of a cost accounting model for doctors' offices.

PubMed

Britzelmaier, Bernd; Eller, Brigitte

2004-01-01

Physicians are required, due to economical, financial, competitive, demographical and market-induced framework conditions, to pay increasing attention to the entrepreneurial administration of their offices. Because of restructuring policies throughout the public health system--on the grounds of increasing financing problems--more and better transparency of costs will be indispensable in all fields of medical activities in the future. The more cost-conscious public health insurance institutions or other public health funds will need professional cost accounting systems, which will provide, for minimum maintenance expense, standardised basis cost information as a device for decision. The conception of cost accounting for doctors' offices presented in this paper shows an integrated cost accounting approach based on activity and marginal costing philosophy. The conception presented provides a suitable basis for the development of standard software for cost accounting systems for doctors' offices.

Defense Technology Plan

DTIC Science & Technology

1994-09-01

implementation of the services necessary to support transparent "information pull " operation of decision support systems. This infrastructure will be implemented...technology. Some aspects of this area such as user- pull , mobile and highly distributed operation, bandwidth needs and degree of securihy are Dol)-driven...by a variety of statutory requirements. R&D will provide enhanced mission effectiveness and maintenance of fragile ecosystems. The goalis to develop

78 FR 30901 - Record of Decision and Wetland/Floodplain Statement of Findings for the W.A. Parish Post...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-23

... W.A. Parish Plant in Fort Bend County, Texas. A new 80-MW natural gas-fired turbine, currently under... the CO 2 capture facility, the combustion turbine and heat recovery steam generator (CT/HRSG) area... maintenance power sources or by new metered service from a local retail provider. Potential construction...

Supporting NASA Facilities Through GIS

NASA Technical Reports Server (NTRS)

Ingham, Mary E.

2000-01-01

The NASA GIS Team supports NASA facilities and partners in the analysis of spatial data. Geographic Information System (G[S) is an integration of computer hardware, software, and personnel linking topographic, demographic, utility, facility, image, and other geo-referenced data. The system provides a graphic interface to relational databases and supports decision making processes such as planning, design, maintenance and repair, and emergency response.

Decision support for mitigating the risk of tree induced transmission line failure in utility rights-of-way.

PubMed

Poulos, H M; Camp, A E

2010-02-01

Vegetation management is a critical component of rights-of-way (ROW) maintenance for preventing electrical outages and safety hazards resulting from tree contact with conductors during storms. Northeast Utility's (NU) transmission lines are a critical element of the nation's power grid; NU is therefore under scrutiny from federal agencies charged with protecting the electrical transmission infrastructure of the United States. We developed a decision support system to focus right-of-way maintenance and minimize the potential for a tree fall episode that disables transmission capacity across the state of Connecticut. We used field data on tree characteristics to develop a system for identifying hazard trees (HTs) in the field using limited equipment to manage Connecticut power line ROW. Results from this study indicated that the tree height-to-diameter ratio, total tree height, and live crown ratio were the key characteristics that differentiated potential risk trees (danger trees) from trees with a high probability of tree fall (HTs). Products from this research can be transferred to adaptive right-of-way management, and the methods we used have great potential for future application to other regions of the United States and elsewhere where tree failure can disrupt electrical power.

On-Line Modal State Monitoring of Slowly Time-Varying Structures

NASA Technical Reports Server (NTRS)

Johnson, Erik A.; Bergman, Lawrence A.; Voulgaris, Petros G.

1997-01-01

Monitoring the dynamic response of structures is often performed for a variety of reasons. These reasons include condition-based maintenance, health monitoring, performance improvements, and control. In many cases the data analysis that is performed is part of a repetitive decision-making process, and in these cases the development of effective on-line monitoring schemes help to speed the decision-making process and reduce the risk of erroneous decisions. This report investigates the use of spatial modal filters for tracking the dynamics of slowly time-varying linear structures. The report includes an overview of modal filter theory followed by an overview of several structural system identification methods. Included in this discussion and comparison are H-infinity, eigensystem realization, and several time-domain least squares approaches. Finally, a two-stage adaptive on-line monitoring scheme is developed and evaluated.

Exploring Behavioral Markers of Long-Term Physical Activity Maintenance: A Case Study of System Identification Modeling within a Behavioral Intervention

ERIC Educational Resources Information Center

Hekler, Eric B.; Buman, Matthew P.; Poothakandiyil, Nikhil; Rivera, Daniel E.; Dzierzewski, Joseph M.; Aiken Morgan, Adrienne; McCrae, Christina S.; Roberts, Beverly L.; Marsiske, Michael; Giacobbi, Peter R., Jr.

2013-01-01

Efficacious interventions to promote long-term maintenance of physical activity are not well understood. Engineers have developed methods to create dynamical system models for modeling idiographic (i.e., within-person) relationships within systems. In behavioral research, dynamical systems modeling may assist in decomposing intervention effects…

Regulation of macrophage development and function in peripheral tissues

PubMed Central

Lavin, Yonit; Mortha, Arthur; Rahman, Adeeb; Merad, Miriam

2015-01-01

Macrophages are immune cells of haematopoietic origin that provide crucial innate immune defence and have tissue-specific functions in the regulation and maintenance of organ homeostasis. Recent studies of macrophage ontogeny, as well as transcriptional and epigenetic identity, have started to reveal the decisive role of the tissue stroma in the regulation of macrophage function. These findings suggest that most macrophages seed the tissues during embryonic development and functionally specialize in response to cytokines and metabolites that are released by the stroma and drive the expression of unique transcription factors. In this Review, we discuss how recent insights into macrophage ontogeny and macrophage–stroma interactions contribute to our understanding of the crosstalk that shapes macrophage function and the maintenance of organ integrity. PMID:26603899

An efficiency-decay model for Lumen maintenance

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bobashev, Georgiy; Baldasaro, Nicholas G.; Mills, Karmann C.

Proposed is a multicomponent model for the estimation of light-emitting diode (LED) lumen maintenance using test data that were acquired in accordance with the test standards of the Illumination Engineering Society of North America, i.e., LM-80-08. Lumen maintenance data acquired with this test do not always follow exponential decay, particularly data collected in the first 1000 h or under low-stress (e.g., low temperature) conditions. This deviation from true exponential behavior makes it difficult to use the full data set in models for the estimation of lumen maintenance decay coefficient. As a result, critical information that is relevant to the earlymore » life or low-stress operation of LED light sources may be missed. We present an efficiency-decay model approach, where all lumen maintenance data can be used to provide an alternative estimate of the decay rate constant. The approach considers a combined model wherein one part describes an initial “break-in” period and another part describes the decay in lumen maintenance. During the break-in period, several mechanisms within the LED can act to produce a small (typically <; 10%) increase in luminous flux. The effect of the break-in period and its longevity is more likely to be present at low-ambient temperatures and currents, where the discrepancy between a standard TM-21 approach and our proposed model is the largest. For high temperatures and currents, the difference between the estimates becomes nonsubstantial. Finally, our approach makes use of all the collected data and avoids producing unrealistic estimates of the decay coefficient.« less