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The Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrix

dc.contributor.authorMachado, M. A. G. [UNESP]
dc.contributor.authorCosta, A. F. B.
dc.contributor.authorRahim, M. A.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv New Brunswick
dc.date.accessioned2014-05-20T13:28:31Z
dc.date.available2014-05-20T13:28:31Z
dc.date.issued2009-07-01
dc.description.abstractIn this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The points plotted on the chart correspond to the maximum of the values of these two variances. The reasons to consider the VMAX statistic instead of the generalized variance vertical bar S vertical bar are its faster detection of process changes and its better diagnostic feature, that is, with the VMAX statistic it is easier to identify the out-of-control variable. We study the synthetic chart based on the VMAX statistic. The proposed chart is always more efficient than the chart based on the generalized variance vertical bar S vertical bar. An example is presented to illustrate the application of the proposed chart. Copyright (C) 2008 John Wiley & Sons, Ltd.en
dc.description.affiliationUNESP, Fac Engn, Dept Prod, BR-12516410 Guaratingueta, SP, Brazil
dc.description.affiliationUniv New Brunswick, Fac Business Adm, Fredericton, NB, Canada
dc.description.affiliationUnespUNESP, Fac Engn, Dept Prod, BR-12516410 Guaratingueta, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent595-606
dc.identifierhttp://dx.doi.org/10.1002/qre.992
dc.identifier.citationQuality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 25, n. 5, p. 595-606, 2009.
dc.identifier.doi10.1002/qre.992
dc.identifier.issn0748-8017
dc.identifier.lattes6100382011052492
dc.identifier.urihttp://hdl.handle.net/11449/9501
dc.identifier.wosWOS:000268549800012
dc.language.isoeng
dc.publisherJohn Wiley & Sons Ltd
dc.relation.ispartofQuality and Reliability Engineering International
dc.relation.ispartofjcr1.604
dc.relation.ispartofsjr0,955
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectcontrol chartsen
dc.subjectcovariance matrixen
dc.subjectsyntheticen
dc.subjectgeneralized varianceen
dc.titleThe Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrixen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderJohn Wiley & Sons Ltd
unesp.author.lattes6100382011052492[2]
unesp.author.orcid0000-0003-2133-1098[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Guaratinguetápt
unesp.departmentProdução - FEGpt

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