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dc.contributor.author차지환*
dc.date.accessioned2018-12-14T16:30:34Z-
dc.date.available2018-12-14T16:30:34Z-
dc.date.issued2018*
dc.identifier.issn0377-2217*
dc.identifier.otherOAK-22806*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/247623-
dc.description.abstractTo enhance survivability of many real-world critical systems (e.g., aircrafts, human space flight systems and dangerous technological processes), mission abort procedures are often utilized in practice. In such cases, in order to improve survivability, a rescue or recovery procedure is initiated. In this paper, we first develop a methodology for obtaining the mission success probability (MSP) and the system survival probability (SSP) for heterogeneous systems with major and minor failures. A major failure is non-repairable and results in a failure of a mission, whereas a minor failure is minimally repaired. We consider a policy where a mission is aborted and a rescue procedure is activated if the mth minimal repair occurs before time ξ since the start of a mission. We demonstrate the tradeoff between the SSP and the MSP that should be balanced by the proper choice of the decision variables m and ξ. A detailed illustrative example is presented. © 2018 Elsevier B.V.*
dc.languageEnglish*
dc.publisherElsevier B.V.*
dc.subjectMaintenance*
dc.subjectMinimal repair*
dc.subjectMission abort*
dc.subjectMission success probability*
dc.subjectSystem survival probability*
dc.titleOptimal mission abort policy for partially repairable heterogeneous systems*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume271*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage818*
dc.relation.lastpage825*
dc.relation.journaltitleEuropean Journal of Operational Research*
dc.identifier.doi10.1016/j.ejor.2018.06.032*
dc.identifier.wosidWOS:000442060500004*
dc.identifier.scopusid2-s2.0-85049430659*
dc.author.googleCha J.H.*
dc.author.googleFinkelstein M.*
dc.author.googleLevitin G.*
dc.contributor.scopusid차지환(7202455739)*
dc.date.modifydate20231123095848*
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자연과학대학 > 통계학전공 > Journal papers
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