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 |