Analysis of deviation from nominal control chart performance on short production runs

Detalhes bibliográficos
Autor(a) principal: Meira,Márcio Ricardo Morelli de
Data de Publicação: 2022
Outros Autores: Oprime,Pedro Carlos, Mergulhão,Ricardo Coser
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100204
Resumo: Abstract Paper aims This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method The method used was mathematical modeling and computer simulation. Main findings The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.
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spelling Analysis of deviation from nominal control chart performance on short production runsControl charts for short production runsDeviation from nominal control chartEffect of parameters estimation on control charts performanceAbstract Paper aims This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method The method used was mathematical modeling and computer simulation. Main findings The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.Associação Brasileira de Engenharia de Produção2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100204Production v.32 2022reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20210092info:eu-repo/semantics/openAccessMeira,Márcio Ricardo Morelli deOprime,Pedro CarlosMergulhão,Ricardo Cosereng2022-01-18T00:00:00Zoai:scielo:S0103-65132022000100204Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2022-01-18T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Analysis of deviation from nominal control chart performance on short production runs
title Analysis of deviation from nominal control chart performance on short production runs
spellingShingle Analysis of deviation from nominal control chart performance on short production runs
Meira,Márcio Ricardo Morelli de
Control charts for short production runs
Deviation from nominal control chart
Effect of parameters estimation on control charts performance
title_short Analysis of deviation from nominal control chart performance on short production runs
title_full Analysis of deviation from nominal control chart performance on short production runs
title_fullStr Analysis of deviation from nominal control chart performance on short production runs
title_full_unstemmed Analysis of deviation from nominal control chart performance on short production runs
title_sort Analysis of deviation from nominal control chart performance on short production runs
author Meira,Márcio Ricardo Morelli de
author_facet Meira,Márcio Ricardo Morelli de
Oprime,Pedro Carlos
Mergulhão,Ricardo Coser
author_role author
author2 Oprime,Pedro Carlos
Mergulhão,Ricardo Coser
author2_role author
author
dc.contributor.author.fl_str_mv Meira,Márcio Ricardo Morelli de
Oprime,Pedro Carlos
Mergulhão,Ricardo Coser
dc.subject.por.fl_str_mv Control charts for short production runs
Deviation from nominal control chart
Effect of parameters estimation on control charts performance
topic Control charts for short production runs
Deviation from nominal control chart
Effect of parameters estimation on control charts performance
description Abstract Paper aims This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method The method used was mathematical modeling and computer simulation. Main findings The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0103-65132022000100204
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20210092
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 Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.32 2022
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
_version_ 1754213154845360128

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