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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/9511
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dc.contributor.authorMachado, Marcela A. G.-
dc.contributor.authorCosta, Antonio F. B.-
dc.date.accessioned2014-05-20T13:28:33Z-
dc.date.accessioned2016-10-25T16:48:13Z-
dc.date.available2014-05-20T13:28:33Z-
dc.date.available2016-10-25T16:48:13Z-
dc.date.issued2008-07-01-
dc.identifierhttp://dx.doi.org/10.1016/j.ijpe.2008.01.001-
dc.identifier.citationInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 114, n. 1, p. 134-148, 2008.-
dc.identifier.issn0925-5273-
dc.identifier.urihttp://hdl.handle.net/11449/9511-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/9511-
dc.description.abstractWe 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 is 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 double sampling (DS) and the exponentially weighted moving average (EWMA) charts based on the VMAX statistic. (C) 2008 Elsevier B.V. All rights reserved.en
dc.format.extent134-148-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectcontrol chartsen
dc.subjectcovariance matrixen
dc.subjectdouble samplingen
dc.subjectEWMAen
dc.subjectgeneralized varianceen
dc.titleThe double sampling and the EWMA charts based on the sample variancesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, Prod Dept, São Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Prod Dept, São Paulo, Brazil-
dc.identifier.doi10.1016/j.ijpe.2008.01.001-
dc.identifier.wosWOS:000257818300012-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Journal of Production Economics-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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