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dc.contributor.authorZhang, Mimi
dc.date.accessioned2020-06-19T15:31:19Z
dc.date.available2020-06-19T15:31:19Z
dc.date.issued2020
dc.date.submitted2020en
dc.identifier.citationZhang, M., A Heuristic Policy for Maintaining Multiple Multi-State Systems, Reliability Engineering and System Safety, 2020en
dc.identifier.issn0951-8320
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/92798
dc.descriptionACCEPTEDen
dc.description.abstractThis work is concerned with the optimal allocation of limited maintenance resources among a collection of competing multi-state systems, and the dynamic of each multi-state system is modelled by a Markov chain. Determining the optimal dynamic maintenance policy is prohibitively difficult, and hence we propose a heuristic dynamic maintenance policy in which maintenance resources are allocated to systems with higher importance. The importance mea-sure is well justified by the idea of subsidy, yet the computation is expensive. Hence, we further propose two modifications of the importance measure, resulting in two modified heuristic policies. The performance of the two modified heuristics is evaluated in a systematic computational study, showing exceptional competence.en
dc.language.isoenen
dc.relation.ispartofseriesReliability Engineering and System Safety;
dc.rightsYen
dc.subjectApproximate linear programmingen
dc.subjectExpected discounted rewarden
dc.subjectPartially observable Markov decision processen
dc.titleA Heuristic Policy for Maintaining Multiple Multi-State Systemsen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/zhangm3
dc.identifier.rssinternalid217269
dc.rights.ecaccessrightsopenAccess
dc.identifier.orcid_id0000-0002-3807-297X
dc.status.accessibleNen


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