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Synthetic charts to control bivariate processes with autocorrelated data

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.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAMAN
dc.date.accessioned2018-12-11T17:28:03Z
dc.date.available2018-12-11T17:28:03Z
dc.date.issued2016-07-01
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.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.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 301739/2010-2
dc.description.sponsorshipIdCNPq: 306189/2011-9
dc.format.extent15-25
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.doi10.1016/j.cie.2016.04.005
dc.identifier.file2-s2.0-84964690912.pdf
dc.identifier.issn0360-8352
dc.identifier.scopus2-s2.0-84964690912
dc.identifier.urihttp://hdl.handle.net/11449/177985
dc.language.isoeng
dc.relation.ispartofComputers and Industrial Engineering
dc.relation.ispartofsjr1,463
dc.rights.accessRightsAcesso aberto
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
dspace.entity.typePublication
unesp.author.lattes6100382011052492[4]
unesp.author.orcid0000-0003-2133-1098[4]
unesp.departmentProdução - FEGpt

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