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Cited 49 time in webofscience Cited 48 time in scopus
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dc.contributor.authorAslam, M-
dc.contributor.authorAzam, M-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-03-31T07:33:38Z-
dc.date.available2016-03-31T07:33:38Z-
dc.date.created2015-02-11-
dc.date.issued2015-06-11-
dc.identifier.issn0020-7721-
dc.identifier.other2015-OAK-0000031906-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/13764-
dc.description.abstractIn this manuscript a new variable sampling plan based on the exponentially weighted moving average (EWMA) statistic is proposed assuming that the quality characteristic follows the normal distribution. The plans are proposed when the standard deviation of the normal distribution is known or unknown. The plan parameters for both cases are determined such that the given producer's risk and consumer's risk are satisfied. The proposed plan includes the ordinary variable single sampling plan as a special case and its advantage over the single sampling plan is discussed in terms of the sample size. Extensive tables are provided for industrial use.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherTaylor-
dc.relation.isPartOfInternational Journal of Systems Science-
dc.subjectEWMA statistic-
dc.subjectproducer&apos-
dc.subjects risk and consumer&apos-
dc.subjects risk-
dc.subjectnormal distribution-
dc.subjectvariable sampling plan-
dc.subjectVARIABLES INSPECTION-
dc.subjectSAMPLING PLANS-
dc.titleA New Lot Inspection Procedure Based on exponentially weighted moving average-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1080/00207721.2013.822128-
dc.author.googleAslam, M-
dc.author.googleAzam, M-
dc.author.googleJun, CH-
dc.relation.volume46-
dc.relation.issue8-
dc.relation.startpage1392-
dc.relation.lastpage1400-
dc.contributor.id10070938-
dc.relation.journalInternational Journal of Systems Science-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationInternational Journal of Systems Science, v.46, no.8, pp.1392 - 1400-
dc.identifier.wosid000347548400005-
dc.date.tcdate2019-01-01-
dc.citation.endPage1400-
dc.citation.number8-
dc.citation.startPage1392-
dc.citation.titleInternational Journal of Systems Science-
dc.citation.volume46-
dc.contributor.affiliatedAuthorJun, CH-
dc.identifier.scopusid2-s2.0-84921060158-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc28-
dc.description.scptc23*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthorEWMA statistic-
dc.subject.keywordAuthorproducer&apos-
dc.subject.keywordAuthors risk and consumer&apos-
dc.subject.keywordAuthors risk-
dc.subject.keywordAuthornormal distribution-
dc.subject.keywordAuthorvariable sampling plan-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaOperations Research & Management Science-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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