Supply chain management and industry 4.0: a theoretical approach
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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/1263 |
Resumo: | Goal: The purpose of this study is to analyze how the elements of industry 4.0 relate to Supply Chain Management (SCM) by identifying mechanisms that promote or include these elements in the supply chain. The elements of industry 4.0 relate to the basic processes of Supply Chain Operations Reference (SCOR) when considering the literature on the subject. Design / Methodology / Approach: A systematic literature review was performed, and 293 articles were selected and analyzed. Content analyses were conducted to identify the main contributions of elements in SCM, explaining the mechanisms that promote or include elements in SCM and relating the elements to the basic processes of the SCOR model. Results: From the literature analysis, theoretical relations between the elements of industry 4.0 and SCM were established. An overview on the subject was provided, filling a gap in the literature. Identifying the mechanisms that promote or include elements in supply chains and the relations of elements to the SCOR model may help to guide managers for future applications of this model in a targeted manner. Limitations of the investigation: This study covers only theoretical analysis on the concepts, that is, no real applications were made considering the topics addressed. Originality/Value: The construction of a theoretical framework based on systematic literature review on SCM and Industry 4.0 is a contribution to the bibliographic database. Another contribution is the identification and analysis of the main contributions of elements to SCM in the processes of the SCOR model. |
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Brazilian Journal of Operations & Production Management (Online) |
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Supply chain management and industry 4.0: a theoretical approachSupply chain managementIndustry 4.0Big dataInternet of thingsSimulationGoal: The purpose of this study is to analyze how the elements of industry 4.0 relate to Supply Chain Management (SCM) by identifying mechanisms that promote or include these elements in the supply chain. The elements of industry 4.0 relate to the basic processes of Supply Chain Operations Reference (SCOR) when considering the literature on the subject. Design / Methodology / Approach: A systematic literature review was performed, and 293 articles were selected and analyzed. Content analyses were conducted to identify the main contributions of elements in SCM, explaining the mechanisms that promote or include elements in SCM and relating the elements to the basic processes of the SCOR model. Results: From the literature analysis, theoretical relations between the elements of industry 4.0 and SCM were established. An overview on the subject was provided, filling a gap in the literature. Identifying the mechanisms that promote or include elements in supply chains and the relations of elements to the SCOR model may help to guide managers for future applications of this model in a targeted manner. Limitations of the investigation: This study covers only theoretical analysis on the concepts, that is, no real applications were made considering the topics addressed. Originality/Value: The construction of a theoretical framework based on systematic literature review on SCM and Industry 4.0 is a contribution to the bibliographic database. Another contribution is the identification and analysis of the main contributions of elements to SCM in the processes of the SCOR model.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2022-10-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLiterature reviewapplication/pdfhttps://bjopm.org.br/bjopm/article/view/126310.14488/BJOPM.1263.2023Brazilian Journal of Operations & Production Management; Vol. 20 No. 1 (2023); 1263 2237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/1263/1025Copyright (c) 2022 Tobias Leonardo Kunrath, Aline Dresch, Douglas Rafael Veithttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessKunrath, Tobias LeonardoDresch, AlineVeit, Douglas Rafael2022-10-11T02:33:39Zoai:ojs.bjopm.org.br:article/1263Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:28.737815Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Supply chain management and industry 4.0: a theoretical approach |
title |
Supply chain management and industry 4.0: a theoretical approach |
spellingShingle |
Supply chain management and industry 4.0: a theoretical approach Kunrath, Tobias Leonardo Supply chain management Industry 4.0 Big data Internet of things Simulation |
title_short |
Supply chain management and industry 4.0: a theoretical approach |
title_full |
Supply chain management and industry 4.0: a theoretical approach |
title_fullStr |
Supply chain management and industry 4.0: a theoretical approach |
title_full_unstemmed |
Supply chain management and industry 4.0: a theoretical approach |
title_sort |
Supply chain management and industry 4.0: a theoretical approach |
author |
Kunrath, Tobias Leonardo |
author_facet |
Kunrath, Tobias Leonardo Dresch, Aline Veit, Douglas Rafael |
author_role |
author |
author2 |
Dresch, Aline Veit, Douglas Rafael |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Kunrath, Tobias Leonardo Dresch, Aline Veit, Douglas Rafael |
dc.subject.por.fl_str_mv |
Supply chain management Industry 4.0 Big data Internet of things Simulation |
topic |
Supply chain management Industry 4.0 Big data Internet of things Simulation |
description |
Goal: The purpose of this study is to analyze how the elements of industry 4.0 relate to Supply Chain Management (SCM) by identifying mechanisms that promote or include these elements in the supply chain. The elements of industry 4.0 relate to the basic processes of Supply Chain Operations Reference (SCOR) when considering the literature on the subject. Design / Methodology / Approach: A systematic literature review was performed, and 293 articles were selected and analyzed. Content analyses were conducted to identify the main contributions of elements in SCM, explaining the mechanisms that promote or include elements in SCM and relating the elements to the basic processes of the SCOR model. Results: From the literature analysis, theoretical relations between the elements of industry 4.0 and SCM were established. An overview on the subject was provided, filling a gap in the literature. Identifying the mechanisms that promote or include elements in supply chains and the relations of elements to the SCOR model may help to guide managers for future applications of this model in a targeted manner. Limitations of the investigation: This study covers only theoretical analysis on the concepts, that is, no real applications were made considering the topics addressed. Originality/Value: The construction of a theoretical framework based on systematic literature review on SCM and Industry 4.0 is a contribution to the bibliographic database. Another contribution is the identification and analysis of the main contributions of elements to SCM in the processes of the SCOR model. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Literature review |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1263 10.14488/BJOPM.1263.2023 |
url |
https://bjopm.org.br/bjopm/article/view/1263 |
identifier_str_mv |
10.14488/BJOPM.1263.2023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1263/1025 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Tobias Leonardo Kunrath, Aline Dresch, Douglas Rafael Veit http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Tobias Leonardo Kunrath, Aline Dresch, Douglas Rafael Veit 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. 20 No. 1 (2023); 1263 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 |
_version_ |
1797051461722439680 |