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감마분포 공정을 위한 변동계수 관리도의 통계적 설계

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dc.contributor.author이동원-
dc.contributor.author강창욱-
dc.contributor.author백재원-
dc.date.accessioned2021-06-23T22:07:04Z-
dc.date.available2021-06-23T22:07:04Z-
dc.date.issued2006-06-
dc.identifier.issn2005-0461-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45227-
dc.description.abstractRecently, the control chart is developed for monitoring processes with normal short production runs by the coefficient of variation(CV) characteristic for a normal distribution. This control chart does not work well in non-normal short production runs. And most of industrial processes are known to follow the non-normal distribution. Therefore, the control chart is required to be developed for monitoring the processes with non-normal short production runs by the CV characteristics for a non-normal distribution. In this paper, we suggest the control chart for monitoring the processes with a gamma short runs by the CV characteristics for a gamma distribution. This control chart is denoted by the gamma CV control chart. Futhermore evaluated the performance of the gamma CV control chart by average run length(ARL).-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국산업경영시스템학회-
dc.title감마분포 공정을 위한 변동계수 관리도의 통계적 설계-
dc.title.alternativeThe Statistical Design of CV Control Charts for the Gamma Distribution Processes-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국산업경영시스템학회지, v.29, no.2, pp 97 - 103-
dc.citation.title한국산업경영시스템학회지-
dc.citation.volume29-
dc.citation.number2-
dc.citation.startPage97-
dc.citation.endPage103-
dc.identifier.kciidART001014071-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorControl chart-
dc.subject.keywordAuthorCoefficient of variation-
dc.subject.keywordAuthorAverage run length-
dc.subject.keywordAuthorShort production runs-
dc.subject.keywordAuthorGamma distribution-
dc.identifier.urlhttp://scholar.dkyobobook.co.kr/searchDetail.laf?barcode=4010019085361#-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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