Double sampling control chart for a first order autoregressive process

Detalhes bibliográficos
Autor(a) principal: Claro,Fernando A. E.
Data de Publicação: 2008
Outros Autores: Costa,Antonio F. B., 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=S0101-74382008000300008
Resumo: In this paper we propose the Double Sampling control chart for monitoring processes in which the observations follow a first order autoregressive model. We consider sampling intervals that are sufficiently long to meet the rational subgroup concept. The Double Sampling chart is substantially more efficient than the Shewhart chart and the Variable Sample Size chart. To study the properties of these charts we derived closed-form expressions for the average run length (ARL) taking into account the within-subgroup correlation. Numerical results show that this correlation has a significant impact on the chart properties.
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spelling Double sampling control chart for a first order autoregressive processautocorrelationdouble samplingstatistical process controlIn this paper we propose the Double Sampling control chart for monitoring processes in which the observations follow a first order autoregressive model. We consider sampling intervals that are sufficiently long to meet the rational subgroup concept. The Double Sampling chart is substantially more efficient than the Shewhart chart and the Variable Sample Size chart. To study the properties of these charts we derived closed-form expressions for the average run length (ARL) taking into account the within-subgroup correlation. Numerical results show that this correlation has a significant impact on the chart properties.Sociedade Brasileira de Pesquisa Operacional2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300008Pesquisa Operacional v.28 n.3 2008reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382008000300008info:eu-repo/semantics/openAccessClaro,Fernando A. E.Costa,Antonio F. B.Machado,Marcela A. G.eng2009-01-26T00:00:00Zoai:scielo:S0101-74382008000300008Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2009-01-26T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Double sampling control chart for a first order autoregressive process
title Double sampling control chart for a first order autoregressive process
spellingShingle Double sampling control chart for a first order autoregressive process
Claro,Fernando A. E.
autocorrelation
double sampling
statistical process control
title_short Double sampling control chart for a first order autoregressive process
title_full Double sampling control chart for a first order autoregressive process
title_fullStr Double sampling control chart for a first order autoregressive process
title_full_unstemmed Double sampling control chart for a first order autoregressive process
title_sort Double sampling control chart for a first order autoregressive process
author Claro,Fernando A. E.
author_facet Claro,Fernando A. E.
Costa,Antonio F. B.
Machado,Marcela A. G.
author_role author
author2 Costa,Antonio F. B.
Machado,Marcela A. G.
author2_role author
author
dc.contributor.author.fl_str_mv Claro,Fernando A. E.
Costa,Antonio F. B.
Machado,Marcela A. G.
dc.subject.por.fl_str_mv autocorrelation
double sampling
statistical process control
topic autocorrelation
double sampling
statistical process control
description In this paper we propose the Double Sampling control chart for monitoring processes in which the observations follow a first order autoregressive model. We consider sampling intervals that are sufficiently long to meet the rational subgroup concept. The Double Sampling chart is substantially more efficient than the Shewhart chart and the Variable Sample Size chart. To study the properties of these charts we derived closed-form expressions for the average run length (ARL) taking into account the within-subgroup correlation. Numerical results show that this correlation has a significant impact on the chart properties.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382008000300008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382008000300008
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.28 n.3 2008
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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