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Demerit-DEWMA 관리도

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dc.contributor.author강해운-
dc.contributor.author백재원-
dc.contributor.author강창욱-
dc.date.accessioned2021-06-23T14:03:20Z-
dc.date.available2021-06-23T14:03:20Z-
dc.date.issued2010-06-
dc.identifier.issn2005-0461-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40274-
dc.description.abstractComplex products may present more than one type of defects and these defects are not always of equal severity. These defects are classified according to their seriousness and effect on product quality and performance. So, demerit systems are very effective systems to monitor the different types of defects. Recently, Kang et al.(2009) proposed the revised Demerit-CUSUM for the evaluation of the Demerit-CUSUM control chart performance exactly. In this paper, we present an advanced Demerit control chart using the double EWMA technique. The double EWMA technique is very efficient and strong method for process control where defects and nonconformities occur with various defect types. Moreover, we compare exact performance of Demerit-CUSUM, Demerit-EWMA and Demerit-DEWMA control chart according to changing sample size or mean shifts magnitude. By the result, we confirm that the performance of Demerit-DEWMA control chart is more than the performance of the Demerit-CUSUM and Demerit-EWMA control chart.-
dc.format.extent9-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국산업경영시스템학회-
dc.titleDemerit-DEWMA 관리도-
dc.title.alternativeA Study of Demerit-DEWMA Control Chart-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국산업경영시스템학회지, v.33, no.2, pp 9 - 17-
dc.citation.title한국산업경영시스템학회지-
dc.citation.volume33-
dc.citation.number2-
dc.citation.startPage9-
dc.citation.endPage17-
dc.identifier.kciidART001460241-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorDemerit Control Chart-
dc.subject.keywordAuthorStatistical Process Control(SPC)-
dc.subject.keywordAuthorDefects-
dc.identifier.urlhttp://scholar.dkyobobook.co.kr/searchDetail.laf?barcode=4010023089935-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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