Synthetic control charts with two-stage sampling for monitoring bivariate processes

Detalhes bibliográficos
Autor(a) principal: Costa, Antonio F. B. [UNESP]
Data de Publicação: 2007
Outros Autores: Machado, Marcela A. G. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S0101-74382007000100007
http://hdl.handle.net/11449/69456
Resumo: In this article, we consider the synthetic control chart with two-stage sampling (SyTS chart) to control bivariate processes. During the first stage, one item of the sample is inspected and two correlated quality characteristics (x;y) are measured. If the Hotelling statistic T1 2 for these individual observations of (x;y) is lower than a specified value UCL 1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2 2 for the sample means of (x;y) is computed. When the statistic T2 2 is larger than a specified value UCL2, the sample is classified as nonconforming. According to the synthetic control chart procedure, the signal is based on the number of conforming samples between two neighbor nonconforming samples. The proposed chart detects process disturbances faster than the bivariate charts with variable sample size and it is from the practical viewpoint more convenient to administer.
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spelling Synthetic control charts with two-stage sampling for monitoring bivariate processesBivariate processesSynthetic control chartTwo-stage samplingIn this article, we consider the synthetic control chart with two-stage sampling (SyTS chart) to control bivariate processes. During the first stage, one item of the sample is inspected and two correlated quality characteristics (x;y) are measured. If the Hotelling statistic T1 2 for these individual observations of (x;y) is lower than a specified value UCL 1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2 2 for the sample means of (x;y) is computed. When the statistic T2 2 is larger than a specified value UCL2, the sample is classified as nonconforming. According to the synthetic control chart procedure, the signal is based on the number of conforming samples between two neighbor nonconforming samples. The proposed chart detects process disturbances faster than the bivariate charts with variable sample size and it is from the practical viewpoint more convenient to administer.Production Department São Paulo State University (UNESP), Guaratinguetá - SPProduction Department São Paulo State University (UNESP), Guaratinguetá - SPUniversidade Estadual Paulista (Unesp)Costa, Antonio F. B. [UNESP]Machado, Marcela A. G. [UNESP]2014-05-27T11:22:22Z2014-05-27T11:22:22Z2007-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1590/S0101-74382007000100007Pesquisa Operacional, v. 27, n. 1, 2007.0101-74381678-5142http://hdl.handle.net/11449/6945610.1590/S0101-74382007000100007S0101-743820070001000072-s2.0-345472586122-s2.0-34547258612.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPesquisa Operacional0,365info:eu-repo/semantics/openAccess2024-07-02T17:37:19Zoai:repositorio.unesp.br:11449/69456Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:16:15.788202Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Synthetic control charts with two-stage sampling for monitoring bivariate processes
title Synthetic control charts with two-stage sampling for monitoring bivariate processes
spellingShingle Synthetic control charts with two-stage sampling for monitoring bivariate processes
Costa, Antonio F. B. [UNESP]
Bivariate processes
Synthetic control chart
Two-stage sampling
title_short Synthetic control charts with two-stage sampling for monitoring bivariate processes
title_full Synthetic control charts with two-stage sampling for monitoring bivariate processes
title_fullStr Synthetic control charts with two-stage sampling for monitoring bivariate processes
title_full_unstemmed Synthetic control charts with two-stage sampling for monitoring bivariate processes
title_sort Synthetic control charts with two-stage sampling for monitoring bivariate processes
author Costa, Antonio F. B. [UNESP]
author_facet Costa, Antonio F. B. [UNESP]
Machado, Marcela A. G. [UNESP]
author_role author
author2 Machado, Marcela A. G. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Costa, Antonio F. B. [UNESP]
Machado, Marcela A. G. [UNESP]
dc.subject.por.fl_str_mv Bivariate processes
Synthetic control chart
Two-stage sampling
topic Bivariate processes
Synthetic control chart
Two-stage sampling
description In this article, we consider the synthetic control chart with two-stage sampling (SyTS chart) to control bivariate processes. During the first stage, one item of the sample is inspected and two correlated quality characteristics (x;y) are measured. If the Hotelling statistic T1 2 for these individual observations of (x;y) is lower than a specified value UCL 1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2 2 for the sample means of (x;y) is computed. When the statistic T2 2 is larger than a specified value UCL2, the sample is classified as nonconforming. According to the synthetic control chart procedure, the signal is based on the number of conforming samples between two neighbor nonconforming samples. The proposed chart detects process disturbances faster than the bivariate charts with variable sample size and it is from the practical viewpoint more convenient to administer.
publishDate 2007
dc.date.none.fl_str_mv 2007-01-01
2014-05-27T11:22:22Z
2014-05-27T11:22:22Z
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/10.1590/S0101-74382007000100007
Pesquisa Operacional, v. 27, n. 1, 2007.
0101-7438
1678-5142
http://hdl.handle.net/11449/69456
10.1590/S0101-74382007000100007
S0101-74382007000100007
2-s2.0-34547258612
2-s2.0-34547258612.pdf
url http://dx.doi.org/10.1590/S0101-74382007000100007
http://hdl.handle.net/11449/69456
identifier_str_mv Pesquisa Operacional, v. 27, n. 1, 2007.
0101-7438
1678-5142
10.1590/S0101-74382007000100007
S0101-74382007000100007
2-s2.0-34547258612
2-s2.0-34547258612.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pesquisa Operacional
0,365
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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
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