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dc.contributor.authorBalamurali, S-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-04-01T02:01:49Z-
dc.date.available2016-04-01T02:01:49Z-
dc.date.created2009-02-28-
dc.date.issued2006-03-
dc.identifier.issn0266-4763-
dc.identifier.other2006-OAK-0000005599-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/24254-
dc.description.abstractA CSP-C continuous sampling plan is a new single-level continuous sampling procedure developed by Govindaraju & Kandasamy (2000) by incorporating the concept of acceptance number to the CSP-1 plan for the application of continuous production processes. In this new plan, the sampling inspection phase is characterized by a maximum allowable number of non-conforming units, c, and a constant sampling rate, f. Govindaraju & Kandasamy ( 000) derived the performance measures such as average outgoing quality (AOQ), average fraction inspected (AFI) etc, of the CSP-C plan using a Markov chain model for long run production processes. Yang (1983) has observed that the AOQ and AFI, being long run average measures, are not satisfactory measures of performance for short run production processes. Hence, formulas are derived in this paper, using the renewal theory approach enabling one to compute AOQ and AFI for both long run and short run production processes. Numerical illustrations are also given. By simulation, the accuracy of the short run measures is studied.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS-
dc.relation.isPartOfJOURNAL OF APPLIED STATISTICS-
dc.subjectaverage outgoing quality-
dc.subjectrenewal theory-
dc.subjectshort run production process-
dc.titleAverage outgoing quality of CSP-C continuous sampling plan under short run production processes-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1080/026647605002-
dc.author.googleBalamurali, S-
dc.author.googleJun, CH-
dc.relation.volume33-
dc.relation.issue2-
dc.relation.startpage139-
dc.relation.lastpage154-
dc.contributor.id10070938-
dc.relation.journalJOURNAL OF APPLIED STATISTICS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationJOURNAL OF APPLIED STATISTICS, v.33, no.2, pp.139 - 154-
dc.identifier.wosid000234359400002-
dc.date.tcdate2019-01-01-
dc.citation.endPage154-
dc.citation.number2-
dc.citation.startPage139-
dc.citation.titleJOURNAL OF APPLIED STATISTICS-
dc.citation.volume33-
dc.contributor.affiliatedAuthorJun, CH-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc2-
dc.type.docTypeArticle-
dc.subject.keywordAuthoraverage outgoing quality-
dc.subject.keywordAuthorrenewal theory-
dc.subject.keywordAuthorshort run production process-
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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