DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Zhuoqi | - |
dc.contributor.author | Wu, Su | - |
dc.contributor.author | LEE, SEUNG CHUL | - |
dc.contributor.author | Ni, Jun | - |
dc.date.accessioned | 2018-05-04T02:30:23Z | - |
dc.date.available | 2018-05-04T02:30:23Z | - |
dc.date.created | 2018-02-12 | - |
dc.date.issued | 2014-12 | - |
dc.identifier.issn | 0020-7721 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/41133 | - |
dc.description.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. | - |
dc.language | English | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | - |
dc.subject | maintenance | - |
dc.subject | multi-component system | - |
dc.subject | failure interaction | - |
dc.subject | Markov decision processes | - |
dc.subject | modified iterative aggregation procedure | - |
dc.title | Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/00207721.2013.771759 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, v.45, no.12, pp.2480 - 2489 | - |
dc.identifier.wosid | 000340193600004 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 2489 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 2480 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | - |
dc.citation.volume | 45 | - |
dc.contributor.affiliatedAuthor | LEE, SEUNG CHUL | - |
dc.identifier.scopusid | 2-s2.0-84904807629 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 8 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | OPTIMAL REPLACEMENT POLICIES | - |
dc.subject.keywordPlus | 2-UNIT SYSTEM | - |
dc.subject.keywordPlus | PREVENTIVE MAINTENANCE | - |
dc.subject.keywordPlus | 2-COMPONENT SYSTEM | - |
dc.subject.keywordPlus | BOUNDS | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | maintenance | - |
dc.subject.keywordAuthor | multi-component system | - |
dc.subject.keywordAuthor | failure interaction | - |
dc.subject.keywordAuthor | Markov decision processes | - |
dc.subject.keywordAuthor | modified iterative aggregation procedure | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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