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dc.contributor.authorSu, CTen_US
dc.contributor.authorWu, SCen_US
dc.contributor.authorChang, CCen_US
dc.date.accessioned2014-12-08T15:44:55Z-
dc.date.available2014-12-08T15:44:55Z-
dc.date.issued2000-08-16en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0377-2217(99)00208-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/30329-
dc.description.abstractAlthough Markov maintenance problems have received extensive attention, relatively few studies have addressed multiple nonreplacement maintenance actions for a multistate system with action-dependent risk and stochastic failure. In this study, we closely examine such multiple maintenance actions by viewing a coherent multicomponent system as a multistate system and assuming that each maintenance action regarding state improvement has a probabilistic risk which is ineffective. The above problem is also modeled as a Markov maintenance problem, demonstrating that the optimal maintenance policy has easily computed and implemented control limit rule. More specially, results in this study confirm the practical nature of the proposed model with respect to its ability than most conventional Markov maintenance models for some particular systems. (C) 2000 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectMarkov maintenance problemsen_US
dc.subjectmultistate systemsen_US
dc.subjectaction-dependent risken_US
dc.subjectstochastic failureen_US
dc.subjectcontrol limit ruleen_US
dc.titleMultiaction maintenance subject to action-dependent risk and stochastic failureen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0377-2217(99)00208-8en_US
dc.identifier.journalEUROPEAN JOURNAL OF OPERATIONAL RESEARCHen_US
dc.citation.volume125en_US
dc.citation.issue1en_US
dc.citation.spage133en_US
dc.citation.epage148en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000087774000010-
dc.citation.woscount8-
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