dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorMilitary Academy of Agulhas Negras
dc.date.accessioned2018-12-11T17:25:58Z
dc.date.available2018-12-11T17:25:58Z
dc.date.created2018-12-11T17:25:58Z
dc.date.issued2016-06-02
dc.identifierInternational Journal of Production Research, v. 54, n. 11, p. 3294-3310, 2016.
dc.identifier1366-588X
dc.identifier0020-7543
dc.identifierhttp://hdl.handle.net/11449/177558
dc.identifier10.1080/00207543.2015.1102983
dc.identifier2-s2.0-84945162740
dc.identifier2-s2.0-84945162740.pdf
dc.description.abstractIn this paper, we propose the use of the T2 chart with the mixed sampling strategy (MS) to monitor the mean vector of bivariate processes with observations that fit to a first-order vector autoregressive model. With the MS, rational subgroups of size n are taken from the process and the selected units are regrouped to form the mixed samples. The units of the mixed samples are units selected from the last two rational subgroups. The aim of the proposed sampling strategy is to reduce the negative effect of the autocorrelation on the performance of the T2 chart. When the two variables are autocorrelated, the MS always enhances the T2 chart performance, however, the mixed samples are not recommended for bivariate processes with only one autocorrelated variable which is rarely affected by the assignable cause.
dc.languageeng
dc.relationInternational Journal of Production Research
dc.relation1,432
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectAutocorrelation
dc.subjectMixed samples
dc.subjectSampling strategies
dc.subjectT2 control chart
dc.titleThe T2 chart with mixed samples to control bivariate autocorrelated processes
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución