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Cited 8 time in webofscience Cited 9 time in scopus
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dc.contributor.authorBalamurali, Saminathan-
dc.contributor.authorAhmad, Liaquat-
dc.contributor.authorAslam, Muhammad-
dc.contributor.authorHussain, Jaffer-
dc.contributor.authorJun, Chi-Hyuck-
dc.date.accessioned2019-07-04T08:50:25Z-
dc.date.available2019-07-04T08:50:25Z-
dc.date.created2018-08-06-
dc.date.issued2018-09-
dc.identifier.issn0361-0926-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/99259-
dc.description.abstractIn this article, we propose a method of planning and determining the optimum parameters of a SkSP-R skip-lot sampling plan by using the attribute double sampling plan as the reference plan. The SkSP-R plan is a new type of skip-lot sampling plan which has a provision for re-inspecting the submitted lots. The optimal plan parameters of the suggested sampling plan are estimated with the target that the average sample number be minimized and satisfying both the specified producer's as well as the consumer's risks simultaneously. In order to obtain the optimum parameters, tables are also built for different combinations of the acceptable quality level and the limiting quality level in conjunctions with different producer's and consumer's risks. An illustrative example is provided for the implementation of the suggested plan. The advantages of the suggested plan over the existing conventional sampling plans and other existing skip-lot sampling plans are also described.-
dc.languageEnglish-
dc.publisherMarcel Dekker Inc.-
dc.relation.isPartOfCommunications in Statistics - Theory and Methods-
dc.titleOptimal designing of an SkSP-R double sampling plan-
dc.typeArticle-
dc.identifier.doi10.1080/03610926.2017.1373819-
dc.type.rimsART-
dc.identifier.bibliographicCitationCommunications in Statistics - Theory and Methods, v.47, no.17, pp.4329 - 4337-
dc.identifier.wosid000436824900018-
dc.citation.endPage4337-
dc.citation.number17-
dc.citation.startPage4329-
dc.citation.titleCommunications in Statistics - Theory and Methods-
dc.citation.volume47-
dc.contributor.affiliatedAuthorJun, Chi-Hyuck-
dc.identifier.scopusid2-s2.0-85033390106-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.subject.keywordPlusQUALITY CHARACTERISTICS-
dc.subject.keywordPlusINSPECTION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthorAcceptable quality level-
dc.subject.keywordAuthoraverage sample number-
dc.subject.keywordAuthorconsumer&apos-
dc.subject.keywordAuthors risk-
dc.subject.keywordAuthordouble sampling-
dc.subject.keywordAuthorproducer&apos-
dc.subject.keywordAuthors risk-
dc.subject.keywordAuthorskip-lot sampling-
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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