Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 차지환 | * |
dc.date.accessioned | 2016-10-20T02:10:40Z | - |
dc.date.available | 2016-10-20T02:10:40Z | - |
dc.date.issued | 2009 | * |
dc.identifier.issn | 0361-0926 | * |
dc.identifier.other | OAK-5401 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/232556 | - |
dc.description.abstract | Burn-in is a widely used engineering method which is adopted to eliminate defective items before they are shipped to customers or put into field operation. In order to shorten the burn-in process, burn-in is most often accomplished in an accelerated environment. However, there have been few probabilistic or stochastic models for the burn-in procedures in accelerated environment. In this article, under a new stochastic model for accelerated burn-in procedure, the problems of determining both optimal accelerated burn-in time and optimal replacement policy are considered. Components are burned-in under an accelerated environment, then those surviving the burn-in procedure are put into field operation and they are maintained under a replacement policy. The properties of the optimal accelerated burn-in time and optimal replacement policy are obtained and a numerical example which illustrates the usage of obtained results will be presented. | * |
dc.language | English | * |
dc.title | Accelerated burn-in procedures and system maintenance policies | * |
dc.type | Article | * |
dc.relation.issue | 5 | * |
dc.relation.volume | 38 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 719 | * |
dc.relation.lastpage | 733 | * |
dc.relation.journaltitle | Communications in Statistics - Theory and Methods | * |
dc.identifier.doi | 10.1080/03610920802287321 | * |
dc.identifier.wosid | WOS:000263306900012 | * |
dc.identifier.scopusid | 2-s2.0-60649091290 | * |
dc.author.google | Cha J.H. | * |
dc.author.google | Na M.H. | * |
dc.contributor.scopusid | 차지환(7202455739) | * |
dc.date.modifydate | 20231123095848 | * |