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Cited 17 time in webofscience Cited 19 time in scopus
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dc.contributor.authorBalamurali, S.-
dc.contributor.authorAslam, M.-
dc.contributor.authorAhmad, L.-
dc.contributor.authorJun, C.-H.-
dc.date.accessioned2020-02-26T08:50:28Z-
dc.date.available2020-02-26T08:50:28Z-
dc.date.created2019-03-06-
dc.date.issued2020-04-
dc.identifier.issn0361-0926-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/101155-
dc.description.abstractAcceptance sampling plans are quality tools for the manufacturer and the customer. The ultimate result of reduction of nonconforming items will increase the profit of the manufacturer and enhance the satisfaction of the consumer. In this article, a mixed double sampling plan is proposed in which the attribute double sampling inspection is used in the first stage and a variables sampling plan based on the process capability index C-pk is used in the second stage. The optimal parameters are determined so that the producer's and the consumer's risks are to be satisfied with minimum average sample number. The optimal parameters of the proposed plan are estimated using different plan settings using two points on the operating characteristic curve approach. In designing the proposed mixed double sampling plan, we consider the symmetric and asymmetric nonconforming cases under variables inspection. The efficiency of the proposed plan is discussed and compared with the existing sampling plans. Tables are constructed for easy selection of the optimal plan parameters and an industrial example is also included for implementation of the proposed plan.-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS INC-
dc.relation.isPartOfCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS-
dc.titleA mixed double sampling plan based on C-pk-
dc.typeArticle-
dc.identifier.doi10.1080/03610926.2019.1565836-
dc.type.rimsART-
dc.identifier.bibliographicCitationCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.49, no.8, pp.1840 - 1857-
dc.identifier.wosid000517369200004-
dc.citation.endPage1857-
dc.citation.number8-
dc.citation.startPage1840-
dc.citation.titleCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS-
dc.citation.volume49-
dc.contributor.affiliatedAuthorJun, C.-H.-
dc.identifier.scopusid2-s2.0-85061044511-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.subject.keywordPlusAverage sample numbers-
dc.subject.keywordPlusDouble sampling-
dc.subject.keywordPlusOperating characteristics-
dc.subject.keywordPlusProcess capability indices-
dc.subject.keywordPlusSampling plans-
dc.subject.keywordPlusSampling-
dc.subject.keywordPlusProcess control-
dc.subject.keywordAuthorAQL-
dc.subject.keywordAuthoraverage sample number-
dc.subject.keywordAuthordouble sampling plan-
dc.subject.keywordAuthorLQL-
dc.subject.keywordAuthorMixed sampling plan-
dc.subject.keywordAuthoroperating characteristic function-
dc.subject.keywordAuthorprocess capability index-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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