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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/76269
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dc.contributor.authorCosta, Antônio F. B.-
dc.contributor.authorMachado, Marcela A. G.-
dc.date.accessioned2014-05-27T11:30:09Z-
dc.date.accessioned2016-10-25T18:52:37Z-
dc.date.available2014-05-27T11:30:09Z-
dc.date.available2016-10-25T18:52:37Z-
dc.date.issued2013-08-15-
dc.identifierhttp://dx.doi.org/10.1016/j.cie.2013.07.008-
dc.identifier.citationComputers and Industrial Engineering, v. 66, n. 2, p. 431-437, 2013.-
dc.identifier.issn0360-8352-
dc.identifier.urihttp://hdl.handle.net/11449/76269-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/76269-
dc.description.abstractThe MRMAX chart is a single chart based on the standardized sample means and sample ranges for monitoring the mean vector and the covariance matrix of multivariate processes. User's familiarity with the computation of these statistics is a point in favor of the MRMAX chart. As a single chart, the recently proposed MRMAX chart is very appropriate for supplementary runs rules. In this article, we compare the supplemented MRMAX chart and the synthetic MRMAX chart with the standard MRMAX chart. The supplementary and the synthetic runs rules enhance the performance of the MRMAX chart. © 2013 Elsevier Ltd.en
dc.format.extent431-437-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectControl charts-
dc.subjectCovariance matrix-
dc.subjectMean vector-
dc.subjectMultivariate processes-
dc.subjectSupplementary runs rules-
dc.titleA single chart with supplementary runs rules for monitoring the mean vector and the covariance matrix of multivariate processesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartamento de Producao/FEG/UNESP, Avenida Ariberto Pereira da Cunha, 333, CEP 12516-410, Bairro Pedregulho, Guaratingueta, SP-
dc.description.affiliationUnespDepartamento de Producao/FEG/UNESP, Avenida Ariberto Pereira da Cunha, 333, CEP 12516-410, Bairro Pedregulho, Guaratingueta, SP-
dc.identifier.doi10.1016/j.cie.2013.07.008-
dc.identifier.wosWOS:000324962000022-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofComputers and Industrial Engineering-
dc.identifier.scopus2-s2.0-84885190987-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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