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dc.contributor.authorKe, Jau-Chuanen_US
dc.contributor.authorChu, Yunn-Kuangen_US
dc.contributor.authorLee, Jia-Hueien_US
dc.date.accessioned2014-12-08T15:12:55Z-
dc.date.available2014-12-08T15:12:55Z-
dc.date.issued2008en_US
dc.identifier.issn0264-4401en_US
dc.identifier.urihttp://hdl.handle.net/11536/9972-
dc.identifier.urihttp://dx.doi.org/10.1108/02644400810909625en_US
dc.description.abstractPurpose - In order to develop a feasible and efficient method to acquire the long-run availability of a parallel system with distribution-free up and down times, the purpose of this paper is to perform the simulation comparisons on the interval estimations of system availability using four bootstrapping methods. Desigri/methodology/approach - By using four bootstrap methods; standard bootstrap (SB) confidence interval, percentile bootstrap (PB) confidence interval, bias-corrected percentile bootstrap (BCPB) confidence interval, and bias-corrected and accelerated (BCa) confidence interval. A numerical simulation study is carried out in order to demonstrate performance of these proposed bootstrap confidence intervals. Especially, we investigate the accuracy of the four bootstrap confidence intervals by calculating the coverage percentage, the average length, and the relative coverage of confidence intervals. Findings - Among the four bootstrap confidence intervals, the PB method has the largest relative coverage in most situations. That is, the PB method is the best one made by practitioners who want to obtain an efficient interval estimation of availability. Originality/value - It is the first time that the relative coverage is introduced to evaluate the performance of estimation method, which is more efficient than the existing measures.en_US
dc.language.isoen_USen_US
dc.subjectComputer bootstrappingen_US
dc.subjectParallel machinesen_US
dc.subjectSimulationen_US
dc.titleBootstrapping comparison on availability of parallel systems with non-identical componentsen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/02644400810909625en_US
dc.identifier.journalENGINEERING COMPUTATIONSen_US
dc.citation.volume25en_US
dc.citation.issue7-8en_US
dc.citation.spage801en_US
dc.citation.epage816en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000262020600010-
dc.citation.woscount0-
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