Decision-making trends in quality management: a literature review about Industry 4.0

Detalhes bibliográficos
Autor(a) principal: Goecks,Lucas Schmidt
Data de Publicação: 2020
Outros Autores: Santos,Alex Almeida dos, Korzenowski,André Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100704
Resumo: Abstract Paper aims Due to the scarcity of research on current scenarios of quality management in the 21st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality This article contributes to completing categorizations and answering questions that have been previously suggested. Research method This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management and Industry 4.0.
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spelling Decision-making trends in quality management: a literature review about Industry 4.0Quality management. Decision-making. Industry 4.0. Big data.Abstract Paper aims Due to the scarcity of research on current scenarios of quality management in the 21st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality This article contributes to completing categorizations and answering questions that have been previously suggested. Research method This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management and Industry 4.0.Associação Brasileira de Engenharia de Produção2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100704Production v.30 2020reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20190086info:eu-repo/semantics/openAccessGoecks,Lucas SchmidtSantos,Alex Almeida dosKorzenowski,André Luiseng2020-05-07T00:00:00Zoai:scielo:S0103-65132020000100704Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2020-05-07T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Decision-making trends in quality management: a literature review about Industry 4.0
title Decision-making trends in quality management: a literature review about Industry 4.0
spellingShingle Decision-making trends in quality management: a literature review about Industry 4.0
Goecks,Lucas Schmidt
Quality management. Decision-making. Industry 4.0. Big data.
title_short Decision-making trends in quality management: a literature review about Industry 4.0
title_full Decision-making trends in quality management: a literature review about Industry 4.0
title_fullStr Decision-making trends in quality management: a literature review about Industry 4.0
title_full_unstemmed Decision-making trends in quality management: a literature review about Industry 4.0
title_sort Decision-making trends in quality management: a literature review about Industry 4.0
author Goecks,Lucas Schmidt
author_facet Goecks,Lucas Schmidt
Santos,Alex Almeida dos
Korzenowski,André Luis
author_role author
author2 Santos,Alex Almeida dos
Korzenowski,André Luis
author2_role author
author
dc.contributor.author.fl_str_mv Goecks,Lucas Schmidt
Santos,Alex Almeida dos
Korzenowski,André Luis
dc.subject.por.fl_str_mv Quality management. Decision-making. Industry 4.0. Big data.
topic Quality management. Decision-making. Industry 4.0. Big data.
description Abstract Paper aims Due to the scarcity of research on current scenarios of quality management in the 21st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality This article contributes to completing categorizations and answering questions that have been previously suggested. Research method This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management and Industry 4.0.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132020000100704
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20190086
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.30 2020
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
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instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
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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
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