A POMDP Framework to Find Optimal Inspection and Maintenance Policies via Availability and Profit Maximization for Manufacturing Systems
Maintenance can be the factor of either increasing or decreasing system's availability, so it is valuable work to evaluate a maintenance policy from cost and availability point of view, simultaneously and according to decision maker's priorities. This study proposes a Partially Observable Markov Decision Process (POMDP) framework for a partially observable and stochastically deteriorating system in which inspection and maintenance optimal policies of Condition Based Maintenance (CBM) must be determined to maximize the average profit and availability of the system simultaneously. A recent exact method named Accelerated Vector Pruning method (AVP) and some other popular estimating and exact methods are applied and compared in solving such problems.
An Optimal Preventive Maintenance Model to Enhance Availability and Reliability of Flexible Manufacturing Systems
General preventive maintenance model for the components of a system, which improves the reliability to ‘as good as new,’ was used to optimize the maintenance cost. The cost function of a maintenance policy was minimized under given availability constraint. On the other hand, in order to ensure appropriate reliability and availability, the development of the optimal maintenanc...متن کامل
uncertainty in the financial market will be driven by underlying brownian motions, while the assets are assumed to be general stochastic processes adapted to the filtration of the brownian motions. the goal of this study is to calculate the accumulated wealth in order to optimize the expected terminal value using a suitable utility function. this thesis introduced the lim-wong’s benchmark fun...15 صفحه اول
Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation
The overall objective of this two part study is to highlight the advanced attributes, capabilities and use of stochastic control techniques, and especially Partially Observable Markov Decision Processes (POMDPs), that can address the conundrum of planning optimum inspection/monitoring and maintenance policies based on stochastic models and uncertain structural data in real time. In this second ...متن کامل
State-of-the-art infrastructure management systems utilize Markov Decision Processes as a methodology for maintenance and rehabilitation (M&R) decision-making. The underlying assumption in this methodology is that an inspection is performed at the beginning of every year, and that inspections reveal the true condition state of the facility, with no error. As a result, after an inspection, the d...متن کامل
a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran
the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...15 صفحه اول
Our motivation is the problem of determining condition based maintenance policies, for systems whose degradation may be modelled by a continuous time stochastic process. The process is modelled by a Lévy process; failure occurs when the degradation reaches a critical level. The system may be inspected or repaired at any time, and that the costs of inspections and repairs may depend on the of sy...متن کامل
دوره 31 شماره 12
صفحات 2077- 2084
تاریخ انتشار 2018-12-01
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