Synthetic control charts with two-stage sampling for monitoring bivariate processes
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129302589341696 |