CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS

Detalhes bibliográficos
Autor(a) principal: Souza, Fernanda Siqueira
Data de Publicação: 2015
Outros Autores: Pedrini, Danilo Cuzzuol, ten Caten, Carla Schwengber
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/V12N2A4
Resumo: Process capability analysis is extremely important for optimization and quality improvement. It verifies whether the process under analysis is capable of producing items within engineering and customers’ specifications. The use of capability indices when assumptions are not satisfied leads to erroneous conclusions, compromising the study and analysis of the process, jeopardizing the fulfillment of requirements from management or external customers. Aiming at filling a gap identified in the literature, the main contributions of this work are: (i) proposition of capability indices for processes monitored through control charts based on regression models, for symmetric and asymmetric specifications; and (ii) comparison of the proposed indices with traditional capability indices through a simulated process.
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spelling CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELSProcess controlRegression modelsCapability indicesProcess capability analysis is extremely important for optimization and quality improvement. It verifies whether the process under analysis is capable of producing items within engineering and customers’ specifications. The use of capability indices when assumptions are not satisfied leads to erroneous conclusions, compromising the study and analysis of the process, jeopardizing the fulfillment of requirements from management or external customers. Aiming at filling a gap identified in the literature, the main contributions of this work are: (i) proposition of capability indices for processes monitored through control charts based on regression models, for symmetric and asymmetric specifications; and (ii) comparison of the proposed indices with traditional capability indices through a simulated process.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2015-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/V12N2A410.14488/BJOPM.2015.v12.n2.a4Brazilian Journal of Operations & Production Management; Vol. 12 No. 2 (2015): December, 2015; 234-2472237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/V12N2A4/BJOPMV12N2A4http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza, Fernanda SiqueiraPedrini, Danilo Cuzzuolten Caten, Carla Schwengber2022-11-28T20:28:28Zoai:ojs.bjopm.org.br:article/192Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:07.382363Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
title CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
spellingShingle CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
Souza, Fernanda Siqueira
Process control
Regression models
Capability indices
title_short CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
title_full CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
title_fullStr CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
title_full_unstemmed CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
title_sort CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS
author Souza, Fernanda Siqueira
author_facet Souza, Fernanda Siqueira
Pedrini, Danilo Cuzzuol
ten Caten, Carla Schwengber
author_role author
author2 Pedrini, Danilo Cuzzuol
ten Caten, Carla Schwengber
author2_role author
author
dc.contributor.author.fl_str_mv Souza, Fernanda Siqueira
Pedrini, Danilo Cuzzuol
ten Caten, Carla Schwengber
dc.subject.por.fl_str_mv Process control
Regression models
Capability indices
topic Process control
Regression models
Capability indices
description Process capability analysis is extremely important for optimization and quality improvement. It verifies whether the process under analysis is capable of producing items within engineering and customers’ specifications. The use of capability indices when assumptions are not satisfied leads to erroneous conclusions, compromising the study and analysis of the process, jeopardizing the fulfillment of requirements from management or external customers. Aiming at filling a gap identified in the literature, the main contributions of this work are: (i) proposition of capability indices for processes monitored through control charts based on regression models, for symmetric and asymmetric specifications; and (ii) comparison of the proposed indices with traditional capability indices through a simulated process.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/V12N2A4
10.14488/BJOPM.2015.v12.n2.a4
url https://bjopm.org.br/bjopm/article/view/V12N2A4
identifier_str_mv 10.14488/BJOPM.2015.v12.n2.a4
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/V12N2A4/BJOPMV12N2A4
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 12 No. 2 (2015): December, 2015; 234-247
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
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 Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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