A Multivariate Discriminator for Process Drift

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dc.contributor.author Liu, Yumin en_US
dc.contributor.author Xu, Jichao en_US
dc.contributor.author Akpolat, Hasan en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:53:37Z
dc.date.available 2010-05-28T09:53:37Z
dc.date.issued 2002 en_US
dc.identifier 2007000362 en_US
dc.identifier.citation Liu Yumin, Xu Jichao, and Akpolat Hasan 2002, 'A Multivariate Discriminator for Process Drift', Korean Society for Quality Management, vol. 3, no. 1, pp. 119-128. en_US
dc.identifier.issn 1598-2688 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/10026
dc.description.abstract Multivariate Exponentially Weighted Moving Average (MEWMA) chart is a control chart under multivariate process based on the idea of EWMA that rapidly detects small dispersion with a trend. The MEWMA chart was first time discussed by Woodall. However, in his study the correlativity among the multivariate was not considered for the selection of the constant of the diagonal matrix (the smooth parameter i.). In this paper, the EWMA chart with a generalized smooth parameter matrix has been discussed which is believed to have a better fitness for practical production processes than Woodall's approach. en_US
dc.language en_US
dc.publisher Korean Society for Quality Management en_US
dc.relation.isbasedon en_US
dc.title A Multivariate Discriminator for Process Drift en_US
dc.parent The Asian Journal on Quality en_US
dc.journal.volume 3 en_US
dc.journal.number 1 en_US
dc.publocation Seoul, Korea en_US
dc.identifier.startpage 119 en_US
dc.identifier.endpage 128 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 150313 en_US
dc.personcode 0000035969 en_US
dc.personcode 0000035968 en_US
dc.personcode 010568 en_US
dc.percentage 0 en_US
dc.classification.name Quality Management en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords MEWMA, Control Chart, Quality Monitoring, Small Drift en_US
dc.staffid 010568 en_US


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