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

Detalhes bibliográficos
Autor(a) principal: Costa,Antonio F. B.
Data de Publicação: 2007
Outros Autores: Machado,Marcela A. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100007
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 T1² for these individual observations of (x;y) is lower than a specified value UCL1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2² for the sample means of (x;y) is computed. When the statistic T2² 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 T1² for these individual observations of (x;y) is lower than a specified value UCL1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2² for the sample means of (x;y) is computed. When the statistic T2² 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.Sociedade Brasileira de Pesquisa Operacional2007-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100007Pesquisa Operacional v.27 n.1 2007reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382007000100007info:eu-repo/semantics/openAccessCosta,Antonio F. B.Machado,Marcela A. G.eng2007-06-21T00:00:00Zoai:scielo:S0101-74382007000100007Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2007-06-21T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)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.
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.
author_facet Costa,Antonio F. B.
Machado,Marcela A. G.
author_role author
author2 Machado,Marcela A. G.
author2_role author
dc.contributor.author.fl_str_mv Costa,Antonio F. B.
Machado,Marcela A. G.
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 T1² for these individual observations of (x;y) is lower than a specified value UCL1 the sampling is interrupted. Otherwise, the sampling goes on to the second stage, where the remaining items are inspected and the Hotelling statistic T2² for the sample means of (x;y) is computed. When the statistic T2² 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 2007-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382007000100007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.27 n.1 2007
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
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institution SOBRAPO
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collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
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