Optimum maintenance policy using semi-Markov decision processes

Tomasevicz, Curtis L.; Asgarpoor, Sohrab

doi:10.1016/j.epsr.2009.03.008

Cited by 37 publications

(16 citation statements)

References 4 publications

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“…B above. The detail is similar with calculation of two and one maintenance models discussed in [12].…”

Section: Optimal Policy Determinationmentioning

confidence: 91%

“…After inspection, engineers need to determine whether minor or major maintenance should be performed or not. The procedure of modeling is similar with the modeling in paper [12] [17], with policy improvement method.…”

Section: B Including Inspection Into Smdp Modelingmentioning

confidence: 99%

“…Semi-Markov Decision Processes consider sojourn time, therefore allow engineers to model them more accurately. The detail of SMDP can be found in [12].…”

Section: A General Semi-markov Decision Processesmentioning

confidence: 99%

“…While considering equipment deterioration, maintenance, replacement, failure and other states, Markov Processes and Semi-Markov Processes are powerful tools for modeling the transition of those states [9]. In our previous work, optimal maintenance policy evaluation techniques for power equipment have been studied using minor maintenance or major maintenance [10]- [12]. However, those works ignore the possibility of doing inspection before maintenance, which is usually practiced in real life situation.…”

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confidence: 99%

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Optimum Maintenance Policy with Inspection by Semi-Markov Decision Processes

Tomasevicz

Asgarpoor

2007

2007 39th North American Power Symposium

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A method which incorporates modeling of equipment deterioration, inspection, and minor & major maintenance for optimal maintenance decision is proposed in this paper. Optimal inspection and maintenance policy to maximize equipment availability and minimize the cost is evaluated by Semi-Markov Processes and Semi-Markov Decision Processes. An example illustrates the implementation of proposed method for maintenance evaluation of circuit breakers. Also the results of how inspection and maintenance rate impact equipment availability and benefit are discussed. This study is valuable for utilities to determine optimal maintenance policy of equipment. 1

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“…B above. The detail is similar with calculation of two and one maintenance models discussed in [12].…”

Section: Optimal Policy Determinationmentioning

confidence: 91%

Section: B Including Inspection Into Smdp Modelingmentioning

confidence: 99%

“…Semi-Markov Decision Processes consider sojourn time, therefore allow engineers to model them more accurately. The detail of SMDP can be found in [12].…”

Section: A General Semi-markov Decision Processesmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimum Maintenance Policy with Inspection by Semi-Markov Decision Processes

Tomasevicz

Asgarpoor

2007

2007 39th North American Power Symposium

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“…An example is presented to illustrate the implementation of proposed method. A semi-Markov decision process (SMDP) is utilized in [37] to determine whether maintenance should be performed in each deterioration state and, if so, what type of maintenance to perform for repairable power equipment. In [38], road deterioration is modeled as a semi-Markov process in which the state transition has the Markov property and the holding time in each state is assumed to follow a discrete Weibull distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Rida

2014

Arab J Sci Eng

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The subject of this paper is the process of unloading and loading ships at maritime container terminals. Since decision problems in container terminals are dynamic in nature and must be re-evaluated over time based on the state of some crucial underlying factors (such as ships, cranes, or storage yard characteristics), the problem is formulated as a Markov decision process (MDP). The objective is to provide the optimal sequence of decisions that are to be undertaken at each time during the period of unloading and loading operations in order to minimize the total waiting time of wharf cranes and vehicles allocated to serve a containership. A simulation model is also developed in this paper to test and evaluate the optimal policy provided by the MDP.

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Mode-based reliability centered maintenance in transmission system

Moslemi

Kazemi

Abedi³

et al. 2016

Int. Trans. Electr. Energ. Syst.

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Summary Reliability centered maintenance (RCM) is a cost‐effective way to maintaining complex systems, transmission network being one. This paper presents a new method for nonperiodic maintenance scheduling of transmission's elements focusing on failure mode analysis. Adopting a nonperiodic mode‐based viewpoint to maintenance, this paper introduces 6 plans for maintenance in each failure mode. The related Markov model for each plan is proposed, too. Given these Markov models, attempts are made to determine the best strategy of maintenance and the optimum rate of inspection and maintenance for each mode. Furthermore, to increase the practicality of the presented method and to reduce the overall maintenance cost, we coordinated the maintenance plans of the failure modes of an element, together. Finally, applicability of the presented method is demonstrated using an illustrative example.

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Optimum maintenance policy using semi-Markov decision processes

Cited by 37 publications

References 4 publications

Optimum Maintenance Policy with Inspection by Semi-Markov Decision Processes

Optimum Maintenance Policy with Inspection by Semi-Markov Decision Processes

Modeling and Optimization of Decision-Making Process During Loading and Unloading Operations at Container Port

Mode-based reliability centered maintenance in transmission system

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