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Cited 50 time in webofscience Cited 66 time in scopus
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dc.contributor.authorAslam, M-
dc.contributor.authorAzam, M-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-03-31T08:16:56Z-
dc.date.available2016-03-31T08:16:56Z-
dc.date.created2014-02-25-
dc.date.issued2013-03-
dc.identifier.issn0090-3973-
dc.identifier.other2013-OAK-0000028958-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/14959-
dc.description.abstractThis paper extends the idea of multiple dependent state sampling plans to the case of using process capability index when the quality characteristic of the product follows the normal distribution. The plan parameters are determined using the optimization process with minimum values of sample size so that the specified producer's risk and consumer's risk should be satisfied simultaneously for given values of acceptable quality level and limiting quality level in terms of fraction defective beyond two specification limits. The plan parameters are determined under symmetric and asymmetric cases of fraction defective. The advantage of the proposed plan is discussed over the single variable sampling plan. A real example is presented to illustrate the proposed plan in practice.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherAMER SOC TESTING MATERIALS-
dc.relation.isPartOfJOURNAL OF TESTING AND EVALUATION-
dc.subjectnormal distribution-
dc.subjectprocess capability index-
dc.subjectproducer&apos-
dc.subjects risk-
dc.subjectconsumer&apos-
dc.subjects risk-
dc.subjectPRODUCT ACCEPTANCE-
dc.subjectC-PK-
dc.subjectVARIABLES-
dc.subjectINSPECTION-
dc.subjectFRACTION-
dc.subjectSCHEME-
dc.titleMultiple Dependent State Sampling Plan Based on Process Capability Index-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1520/JTE20120012-
dc.author.googleAslam, M-
dc.author.googleAzam, M-
dc.author.googleJun, CH-
dc.relation.volume41-
dc.relation.issue2-
dc.relation.startpage340-
dc.relation.lastpage346-
dc.contributor.id10070938-
dc.relation.journalJOURNAL OF TESTING AND EVALUATION-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationJOURNAL OF TESTING AND EVALUATION, v.41, no.2, pp.340 - 346-
dc.identifier.wosid000316837800019-
dc.date.tcdate2019-01-01-
dc.citation.endPage346-
dc.citation.number2-
dc.citation.startPage340-
dc.citation.titleJOURNAL OF TESTING AND EVALUATION-
dc.citation.volume41-
dc.contributor.affiliatedAuthorJun, CH-
dc.identifier.scopusid2-s2.0-84875453300-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc21-
dc.description.scptc26*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusVARIABLES-
dc.subject.keywordPlusINSPECTION-
dc.subject.keywordPlusFRACTION-
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.relation.journalWebOfScienceCategoryMaterials Science, Characterization & Testing-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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