Process capability indices for profiles: a systematic literature review
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | GEPROS. Gestão da Produção. Operações e Sistemas |
Texto Completo: | https://revista.feb.unesp.br/gepros/article/view/2723 |
Resumo: | Purpose – This paper aims to provide a Systematic Literature Review on process capability indices for profile data.Design/methodology/approach – A Systematic Literature Review (SLR) was carried out, where the Web of Science, ProQuest and Scopus databases were searched, and articles from accessible academic journals, written in English and published until May 2020, were specified.Findings – The findings show that this area of research is relatively recent, with publications only found over the last decade. Furthermore, most process capability indices have been developed for simple linear profiles. Future studies may investigate more complex profiles considering the autocorrelation and non-normal condition of profile data.Originality/value – This study contributes to the academic community in the sense that it maps the available literature on process capability indices for profile data, identifies the techniques and the profile types most studied, and indicates the gaps found in the literature on the subject, providing a direction for future studies.Keywords - Process capability indices; Profiles; Functional data. |
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oai:ojs.gepros.emnuvens.com.br:article/2723 |
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UNESP-2 |
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GEPROS. Gestão da Produção. Operações e Sistemas |
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|
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Process capability indices for profiles: a systematic literature reviewProcess capability indicesProfilesFunctional data.Purpose – This paper aims to provide a Systematic Literature Review on process capability indices for profile data.Design/methodology/approach – A Systematic Literature Review (SLR) was carried out, where the Web of Science, ProQuest and Scopus databases were searched, and articles from accessible academic journals, written in English and published until May 2020, were specified.Findings – The findings show that this area of research is relatively recent, with publications only found over the last decade. Furthermore, most process capability indices have been developed for simple linear profiles. Future studies may investigate more complex profiles considering the autocorrelation and non-normal condition of profile data.Originality/value – This study contributes to the academic community in the sense that it maps the available literature on process capability indices for profile data, identifies the techniques and the profile types most studied, and indicates the gaps found in the literature on the subject, providing a direction for future studies.Keywords - Process capability indices; Profiles; Functional data.A Fundacao para o Desenvolvimento de Bauru (FunDeB)2021-03-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revista.feb.unesp.br/gepros/article/view/272310.15675/gepros.v16i1.2723Revista Gestão da Produção Operações e Sistemas; v. 16 n. 1 (2021)1984-2430reponame:GEPROS. Gestão da Produção. Operações e Sistemasinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPenghttps://revista.feb.unesp.br/gepros/article/view/2723/pdfhttps://revista.feb.unesp.br/gepros/article/view/2723/1938Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemasinfo:eu-repo/semantics/openAccessCouto, Giselle EliasOprime, Pedro CarlosGanga, Gilberto Miller Devós2023-11-22T15:27:12Zoai:ojs.gepros.emnuvens.com.br:article/2723Revistahttps://revista.feb.unesp.br/geprosPUBhttps://revista.feb.unesp.br/gepros/oaigepros@feb.unesp.br||abjabbour@feb.unesp.br1984-24301809-614Xopendoar:2023-11-22T15:27:12GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Process capability indices for profiles: a systematic literature review |
title |
Process capability indices for profiles: a systematic literature review |
spellingShingle |
Process capability indices for profiles: a systematic literature review Couto, Giselle Elias Process capability indices Profiles Functional data. |
title_short |
Process capability indices for profiles: a systematic literature review |
title_full |
Process capability indices for profiles: a systematic literature review |
title_fullStr |
Process capability indices for profiles: a systematic literature review |
title_full_unstemmed |
Process capability indices for profiles: a systematic literature review |
title_sort |
Process capability indices for profiles: a systematic literature review |
author |
Couto, Giselle Elias |
author_facet |
Couto, Giselle Elias Oprime, Pedro Carlos Ganga, Gilberto Miller Devós |
author_role |
author |
author2 |
Oprime, Pedro Carlos Ganga, Gilberto Miller Devós |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Couto, Giselle Elias Oprime, Pedro Carlos Ganga, Gilberto Miller Devós |
dc.subject.por.fl_str_mv |
Process capability indices Profiles Functional data. |
topic |
Process capability indices Profiles Functional data. |
description |
Purpose – This paper aims to provide a Systematic Literature Review on process capability indices for profile data.Design/methodology/approach – A Systematic Literature Review (SLR) was carried out, where the Web of Science, ProQuest and Scopus databases were searched, and articles from accessible academic journals, written in English and published until May 2020, were specified.Findings – The findings show that this area of research is relatively recent, with publications only found over the last decade. Furthermore, most process capability indices have been developed for simple linear profiles. Future studies may investigate more complex profiles considering the autocorrelation and non-normal condition of profile data.Originality/value – This study contributes to the academic community in the sense that it maps the available literature on process capability indices for profile data, identifies the techniques and the profile types most studied, and indicates the gaps found in the literature on the subject, providing a direction for future studies.Keywords - Process capability indices; Profiles; Functional data. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2723 10.15675/gepros.v16i1.2723 |
url |
https://revista.feb.unesp.br/gepros/article/view/2723 |
identifier_str_mv |
10.15675/gepros.v16i1.2723 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2723/pdf https://revista.feb.unesp.br/gepros/article/view/2723/1938 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
dc.source.none.fl_str_mv |
Revista Gestão da Produção Operações e Sistemas; v. 16 n. 1 (2021) 1984-2430 reponame:GEPROS. Gestão da Produção. Operações e Sistemas instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
GEPROS. Gestão da Produção. Operações e Sistemas |
collection |
GEPROS. Gestão da Produção. Operações e Sistemas |
repository.name.fl_str_mv |
GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
gepros@feb.unesp.br||abjabbour@feb.unesp.br |
_version_ |
1800215698070306816 |