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Optimal systems for equipment maintenance and replacement under Markovian deterioration

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dc.contributor.author Bobos, AG en
dc.contributor.author Protonotarios, EN en
dc.date.accessioned 2014-03-01T01:05:42Z
dc.date.available 2014-03-01T01:05:42Z
dc.date.issued 1978 en
dc.identifier.issn 0377-2217 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/8941
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0017995302&partnerID=40&md5=80a13e6229c8173e7c579e5683da1a5b en
dc.subject.classification Management en
dc.subject.classification Operations Research & Management Science en
dc.subject.other MAINTENANCE en
dc.title Optimal systems for equipment maintenance and replacement under Markovian deterioration en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1978 en
heal.abstract Deterioration of equipment is modeled as a multistate discrete time controlled Markov process. The states are classified according to the degree of deterioration. The problem of design of optimal systems for equipment maintenance and replacement is considered when the decision-maker may take, in each stage, one of many available maintenance actions, classified according to their ""stochastic effectiveness""; no action and replacement are included as alternatives. It is assumed that the transition probabilities satisfy two conditions which effectively describe a trend for monotonically increasing expected deterioration and rate of deterioration. Under these assumptions it is proved in the paper that the optimal (cost minimizing) decision system in an infinite horizon is of the control limit rule type, rapidly obtained by policy improvement algorithms. A numerical example is presented for a specific practical application; detailed data are available from the authors on request. © 1978. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName European Journal of Operational Research en
dc.identifier.isi ISI:A1978FK81600004 en
dc.identifier.volume 2 en
dc.identifier.issue 4 en
dc.identifier.spage 257 en
dc.identifier.epage 264 en


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