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dc.contributor.author차지환*
dc.date.accessioned2016-08-27T04:08:12Z-
dc.date.available2016-08-27T04:08:12Z-
dc.date.issued2016*
dc.identifier.issn0377-2217*
dc.identifier.otherOAK-18608*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/218223-
dc.description.abstractThis paper considers periodic preventive maintenance policies for a deteriorating repairable system. On each failure the system is repaired and, at the planned times, it is periodically maintained to improve its reliability performance. Most of periodic preventive maintenance (PM) models for repairable systems have been studied assuming that the failure process between two PMs follows the nonhomogeneous Poisson process (NHPP), implying the minimal repair on each failure. However, in this paper, we assume that the failure process between two PMs follows a new counting process which is a generalized version of the NHPP. We develop two types of PM models and study detailed properties of the optimal policies which minimize the long-run expected cost rates. Numerical examples are also provided. © 2016 Elsevier B.V. All rights reserved.*
dc.languageEnglish*
dc.publisherElsevier B.V.*
dc.subjectGeneralized Polya process*
dc.subjectOptimal periodic maintenance*
dc.subjectRepair type*
dc.subjectStochastic intensity*
dc.subjectWorse-than-minimal-repair*
dc.titleNew stochastic models for preventive maintenance and maintenance optimization*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume255*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage80*
dc.relation.lastpage90*
dc.relation.journaltitleEuropean Journal of Operational Research*
dc.identifier.doi10.1016/j.ejor.2016.04.020*
dc.identifier.wosidWOS:000379636100007*
dc.identifier.scopusid2-s2.0-84964691246*
dc.author.googleLee H.*
dc.author.googleCha J.H.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
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자연과학대학 > 통계학전공 > Journal papers
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