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Cited 12 time in webofscience Cited 15 time in scopus
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Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction SCIE SCOPUS

Title
Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction
Authors
Zhang, ZhuoqiWu, SuLEE, SEUNG CHULNi, Jun
Date Issued
2014-12
Publisher
TAYLOR & FRANCIS LTD
Abstract
This paper studies maintenance policies for multi-component systems which have failure interaction among their components. Component failure might accelerate deterioration processes or induce instantaneous failures of the remaining components. We formulate this maintenance problem as a Markov decision process (MDP) with an objective of minimising a total discounted maintenance cost. However, the action set and state space in MDP exponentially grow as the number of components increases. This makes traditional approaches computationally intractable. To deal with this curse of dimensionality, a modified iterative aggregation procedure (MIAP) is proposed. We mathematically prove that iterations in MIAP guarantee the convergence and the policy obtained is optimal. Numerical case studies find that failure interaction should not be ignored in a maintenance policy decision making and the proposed MIAP is faster and requires less computational memory size than that of linear programming.
Keywords
maintenance; multi-component system; failure interaction; Markov decision processes; modified iterative aggregation procedure
URI
https://oasis.postech.ac.kr/handle/2014.oak/41133
DOI
10.1080/00207721.2013.771759
ISSN
0020-7721
Article Type
Article
Citation
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, vol. 45, no. 12, page. 2480 - 2489, 2014-12
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이승철LEE, SEUNGCHUL
Dept of Mechanical Enginrg
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