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Cited 35 time in webofscience Cited 38 time in scopus
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dc.contributor.authorAslam, M-
dc.contributor.authorWu, CW-
dc.contributor.authorAzam, M-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-03-31T07:54:15Z-
dc.date.available2016-03-31T07:54:15Z-
dc.date.created2015-02-04-
dc.date.issued2014-01-
dc.identifier.issn0898-2112-
dc.identifier.other2014-OAK-0000031031-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/14137-
dc.description.abstractIn this article, a mixed acceptance sampling plan, which is the combination of an attribute plan and a variable plan based on C-pk, is proposed when the quality characteristic follows the normal distribution. The plan parameters are determined using a nonlinear optimization method such that producer's risk and consumer's risk are satisfied simultaneously for given values of acceptable quality level and limiting quality level. Symmetric and asymmetric cases are considered to design the proposed plan. The performance of the proposed plan over the attribute and variable sampling plans is discussed. Tables of plan parameters and examples are given to illustrate the plan developed here.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS INC-
dc.relation.isPartOfQUALITY ENGINEERING-
dc.subjectnormal distribution-
dc.subjectprocess capability index-
dc.subjectproducer&apos-
dc.subjects risk-
dc.subjectconsumer&apos-
dc.subjects risk-
dc.subjectmixed sampling-
dc.subjectC-PK-
dc.titleMixed Acceptance Sampling Plans for Product Inspection Using Process Capability Index-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1080/08982112.2014.903970-
dc.author.googleAslam, M-
dc.author.googleWu, CW-
dc.author.googleAzam, M-
dc.author.googleJun, CH-
dc.relation.volume26-
dc.relation.issue4-
dc.relation.startpage450-
dc.relation.lastpage459-
dc.contributor.id10070938-
dc.relation.journalQUALITY ENGINEERING-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationQUALITY ENGINEERING, v.26, no.4, pp.450 - 459-
dc.identifier.wosid000341133700007-
dc.date.tcdate2019-01-01-
dc.citation.endPage459-
dc.citation.number4-
dc.citation.startPage450-
dc.citation.titleQUALITY ENGINEERING-
dc.citation.volume26-
dc.contributor.affiliatedAuthorJun, CH-
dc.identifier.scopusid2-s2.0-84906567106-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc24-
dc.description.scptc22*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthornormal distribution-
dc.subject.keywordAuthorprocess capability index-
dc.subject.keywordAuthorproducer&apos-
dc.subject.keywordAuthors risk-
dc.subject.keywordAuthorconsumer&apos-
dc.subject.keywordAuthors risk-
dc.subject.keywordAuthormixed sampling-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematics-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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