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Lee, Seungchul
iSystems Design Lab
Research Interests
  • Intelligent design for products and manufacturing systems

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Optimal maintenance policy for multi-component systems under Markovian environment changes

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Title
Optimal maintenance policy for multi-component systems under Markovian environment changes
Author
Zhang, ZhuoqiWu, SuLi, BinfengLee, Seungchul
Keywords
Environmental influence; Maintenance policy; Markov decision processes; Multi-component system; Opportunistic maintenance
Issue Date
201312
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
EXPERT SYSTEMS WITH APPLICATIONS, v.40, no.18, pp.7391 - 7399
Abstract
In this paper, we study multi-component systems, which environmental conditions and opportunistic maintenance (OM) involve. Environmental conditions will exert an influence on deterioration processes of the components in the system. For each component, the worse the environmental conditions are, the faster its deterioration speed is. We want to determine when to preventively maintain each component under such environmental influence. Our purpose is to minimize its long-run average maintenance cost. We decompose such a multi-component system into mutually influential single-component systems, and formulate the maintenance problem of each component as a Markov decision process (MDP). Under some reasonable assumptions, we prove the existence of the optimal (nr, Nr) type policy for each component. A policy iteration method is used to calculate its optimal maintenance policy. Based on the method, we develop an iterative approximation algorithm to obtain an acceptable maintenance policy for a multi-component system. Numerical examples find that environmental conditions and OM pose significant effects on a maintenance policy.
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DOI
http://dx.doi.org/10.1016/j.eswa.2013.07.003
ISSN
0957-4174
Appears in Collections:
DHE_Journal Papers

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