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dc.contributor.authorSimões, Felipe Domingues [UNESP]
dc.contributor.authorLeoni, Roberto Campos [UNESP]
dc.contributor.authorMacHado, Marcela Aparecida Guerreiro [UNESP]
dc.contributor.authorCosta, Antonio Fernando Branco [UNESP]
dc.date.accessioned2018-12-11T17:28:03Z
dc.date.available2018-12-11T17:28:03Z
dc.date.issued2016-07-01
dc.identifierhttp://dx.doi.org/10.1016/j.cie.2016.04.005
dc.identifier.citationComputers and Industrial Engineering, v. 97, p. 15-25.
dc.identifier.issn0360-8352
dc.identifier.urihttp://hdl.handle.net/11449/177985
dc.description.abstractIn this study, we propose the use of simultaneous Xcharts to control bivariate processes with autocorrelated data. The first set of Xcharts is side-sensitive with regard to the same variable (SV Xcharts) and the second one is side-sensitive with regard to both variables (BV Xcharts). The Markov chain approach was used to obtain the steady-state properties of the Xcharts. In comparison with the standard synthetic T2 chart, the SV and the BV charts signal faster in a wide variety of disturbances, except when the variables are high correlated. The BV charts are simpler and signal faster than the SV charts.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent15-25
dc.language.isoeng
dc.relation.ispartofComputers and Industrial Engineering
dc.sourceScopus
dc.subjectBivariate process
dc.subjectSide-sensitive
dc.subjectSteady state
dc.subjectSynthetic
dc.subjectX charts
dc.titleSynthetic charts to control bivariate processes with autocorrelated dataen
dc.typeArtigo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionAMAN
dc.description.affiliationProduction Department São Paulo State University UNESP Faculdade de Engenharia
dc.description.affiliationDepartment of Statistics Military Academy of Agulhas Negras AMAN
dc.description.affiliationUnespProduction Department São Paulo State University UNESP Faculdade de Engenharia
dc.identifier.doi10.1016/j.cie.2016.04.005
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdCNPq: 301739/2010-2
dc.description.sponsorshipIdCNPq: 306189/2011-9
dc.identifier.scopus2-s2.0-84964690912
dc.identifier.file2-s2.0-84964690912.pdf
dc.relation.ispartofsjr1,463
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