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FIR을 이용한 Demerit-CUSUM 관리도의 수행도 평가

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dc.contributor.author강해운-
dc.contributor.author강창욱-
dc.contributor.author백재원-
dc.contributor.author남성호-
dc.date.accessioned2021-06-23T16:37:22Z-
dc.date.available2021-06-23T16:37:22Z-
dc.date.issued2009-03-
dc.identifier.issn2005-0461-
dc.identifier.issn2287-7975-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/41714-
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. Demerit systems are very effective systems to monitoring the different types of defects. So, classical demerit control chart used to monitor counts of several different types of defects simultaneously in complex products. S.M. Na et al.(2003) proposed the Demerit-CUSUM for the improvement of the demerit control chart performance and Nembhard, D. A. et al.(2001) and G.Y. Cho et al.(2004) developed a Demerit control chart using the EWMA technique and evaluated the performance of the control chart. In this paper, we present an effective method for process control using the Demerit-CUSUM with fast initial response. Moreover, we evaluate exact performance of the Demerit-CUSUM control chart with fast initial response, Demerit-CUSUM and Demerit-EWMA according to changing sample size or parameters.-
dc.format.extent8-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국산업경영시스템학회-
dc.titleFIR을 이용한 Demerit-CUSUM 관리도의 수행도 평가-
dc.title.alternativeEvaluation of Demerit-CUSUM Control Chart Performance Using Fast Initial Response-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국산업경영시스템학회지, v.32, no.1, pp 94 - 101-
dc.citation.title한국산업경영시스템학회지-
dc.citation.volume32-
dc.citation.number1-
dc.citation.startPage94-
dc.citation.endPage101-
dc.identifier.kciidART001328994-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorDemerit-CUSUM Control Chart-
dc.subject.keywordAuthorStatistical Process Control(SPC)-
dc.subject.keywordAuthorFast Initial Response-
dc.identifier.urlhttp://db.koreascholar.com/Article?code=22575-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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