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dc.contributor.author차지환-
dc.date.accessioned2021-01-27T16:30:12Z-
dc.date.available2021-01-27T16:30:12Z-
dc.date.issued2021-
dc.identifier.issn0377-2217-
dc.identifier.otherOAK-28359-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/256215-
dc.description.abstractA new renewable warranty policy is suggested that increases probability of its success and can decrease warranty costs. An item from a heterogeneous population is inspected at some intermediate time during a warranty period and, if the observed level of degradation/wear exceeds some optimally predetermined value, it is screened out and replaced by the new one. Deterioration in homogeneous subpopulations of items is modeled by the inverse-Gaussian (IG) process, whereas heterogeneous populations are described by the mixed IG process. Probabilistic and cost analyses of the model are performed and the detailed illustrative example is presented and discussed. © 2020 Elsevier B.V.-
dc.languageEnglish-
dc.publisherElsevier B.V.-
dc.subjectHeterogeneous populations-
dc.subjectMaintenance-
dc.subjectMixed inverse-Gaussian process-
dc.subjectOptimal warranty policy-
dc.subjectRenewable warranty-
dc.titleOptimal warranty policy with inspection for heterogeneous, stochastically degrading items-
dc.typeArticle-
dc.relation.issue3-
dc.relation.volume289-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage1142-
dc.relation.lastpage1152-
dc.relation.journaltitleEuropean Journal of Operational Research-
dc.identifier.doi10.1016/j.ejor.2020.07.045-
dc.identifier.wosidWOS:000596436100025-
dc.identifier.scopusid2-s2.0-85092239826-
dc.author.googleCha J.H.-
dc.author.googleFinkelstein M.-
dc.author.googleLevitin G.-
dc.contributor.scopusid차지환(7202455739)-
dc.date.modifydate20210225103618-
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자연과학대학 > 통계학전공 > Journal papers
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