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Demerit-Double Exponentially Weighted Moving Average Control Chart with Fast Initial Response

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dc.contributor.authorKang, Hae Woon-
dc.contributor.authorKang, Chang Wook-
dc.contributor.authorBaik, Jae Won-
dc.date.accessioned2021-06-23T10:42:18Z-
dc.date.available2021-06-23T10:42:18Z-
dc.date.issued2011-06-
dc.identifier.issn1936-6612-
dc.identifier.issn1936-7317-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/37423-
dc.description.abstractDefects of complex products such as automobiles, computers, home appliances etc. are not found to be only in one type and the importance of such defects by types are not always same. For systems in which defects with such different importance by various types exist, the process is generally used the Demerit control charts. This study suggested the Demerit-Double EWMA control chart which integrates the Double EWMA (exponentially weighted moving average) technique with the classical Demerit control chart and evaluates its performance. As a method of rapidly detecting an off-target process at start-up, the fast initial response (FIR) features were additionally applied to the Demerit-Double EWMA control chart.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Scientific Publishers-
dc.titleDemerit-Double Exponentially Weighted Moving Average Control Chart with Fast Initial Response-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1166/asl.2011.1665-
dc.identifier.scopusid2-s2.0-80051479184-
dc.identifier.wosid000295057600009-
dc.identifier.bibliographicCitationAdvanced Science Letters, v.4, no.6-7, pp 1945 - 1950-
dc.citation.titleAdvanced Science Letters-
dc.citation.volume4-
dc.citation.number6-7-
dc.citation.startPage1945-
dc.citation.endPage1950-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusEWMA CONTROL CHARTS-
dc.subject.keywordPlusSCHEMES-
dc.subject.keywordAuthorDemerit-
dc.subject.keywordAuthorControl Chart-
dc.subject.keywordAuthorStatistical Process Control (SPC)-
dc.identifier.urlhttps://www.ingentaconnect.com/content/asp/asl/2011/00000004/f0020006/art00009-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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