The T2 chart with mixed samples to control bivariate autocorrelated processes
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1080/00207543.2015.1102983 http://hdl.handle.net/11449/177558 |
Resumo: | In 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. |
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Repositório Institucional da UNESP |
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spelling |
The T2 chart with mixed samples to control bivariate autocorrelated processesAutocorrelationMixed samplesSampling strategiesT2 control chartIn 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.Production Department São Paulo State University (UNESP)Military Academy of Agulhas NegrasProduction Department São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Military Academy of Agulhas NegrasLeoni, Roberto Campos [UNESP]Machado, Marcela Aparecida Guerreiro [UNESP]Costa, Antonio Fernando Branco [UNESP]2018-12-11T17:25:58Z2018-12-11T17:25:58Z2016-06-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article3294-3310application/pdfhttp://dx.doi.org/10.1080/00207543.2015.1102983International Journal of Production Research, v. 54, n. 11, p. 3294-3310, 2016.1366-588X0020-7543http://hdl.handle.net/11449/17755810.1080/00207543.2015.11029832-s2.0-849451627402-s2.0-84945162740.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Production Research1,432info:eu-repo/semantics/openAccess2024-07-02T17:37:06Zoai:repositorio.unesp.br:11449/177558Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:53:51.443421Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
title |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
spellingShingle |
The T2 chart with mixed samples to control bivariate autocorrelated processes Leoni, Roberto Campos [UNESP] Autocorrelation Mixed samples Sampling strategies T2 control chart |
title_short |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
title_full |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
title_fullStr |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
title_full_unstemmed |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
title_sort |
The T2 chart with mixed samples to control bivariate autocorrelated processes |
author |
Leoni, Roberto Campos [UNESP] |
author_facet |
Leoni, Roberto Campos [UNESP] Machado, Marcela Aparecida Guerreiro [UNESP] Costa, Antonio Fernando Branco [UNESP] |
author_role |
author |
author2 |
Machado, Marcela Aparecida Guerreiro [UNESP] Costa, Antonio Fernando Branco [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Military Academy of Agulhas Negras |
dc.contributor.author.fl_str_mv |
Leoni, Roberto Campos [UNESP] Machado, Marcela Aparecida Guerreiro [UNESP] Costa, Antonio Fernando Branco [UNESP] |
dc.subject.por.fl_str_mv |
Autocorrelation Mixed samples Sampling strategies T2 control chart |
topic |
Autocorrelation Mixed samples Sampling strategies T2 control chart |
description |
In 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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-02 2018-12-11T17:25:58Z 2018-12-11T17:25:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1080/00207543.2015.1102983 International Journal of Production Research, v. 54, n. 11, p. 3294-3310, 2016. 1366-588X 0020-7543 http://hdl.handle.net/11449/177558 10.1080/00207543.2015.1102983 2-s2.0-84945162740 2-s2.0-84945162740.pdf |
url |
http://dx.doi.org/10.1080/00207543.2015.1102983 http://hdl.handle.net/11449/177558 |
identifier_str_mv |
International Journal of Production Research, v. 54, n. 11, p. 3294-3310, 2016. 1366-588X 0020-7543 10.1080/00207543.2015.1102983 2-s2.0-84945162740 2-s2.0-84945162740.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Production Research 1,432 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
3294-3310 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128718460157952 |