Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/785 |
Resumo: | Goal: The main objective of this study is to analyze the impact of inserting a collaborative robot in a production line of a factory of the automotive sector. Design / Methodology / Approach: Two simulation environments were developed. The first one models the original operation without the collaborative robot. The second one evaluates the impact of inserting the robot. This work is quantitative. Results: The paper presents the use of digital manufacturing tools in a simulation of a collaborative operation between a human and a collaborative robot. The simulations with and without the collaborative robot were performed, and they make it possible to emphasize the benefits of the collaborative operation in a real production line. Limitations of the investigation: The first simulation scenario was validated from the real data provided by the factory. However, the second scenario is a suggestion, emphasizing the benefits of collaborative operation. Implementation of the second scenario was not conducted. Practical implications: Since its completion depended on support from the automotive sector, this work is noticeably practical. The real data used in the first scenario as well as the assumptions made in the second scenario allow one to conclude that it is possible to implement the propositions with the collaborative robot in the chosen line. Originality / Value: The use of the collaborative robot in Brazil was forbidden by regulation until recently. Even in other countries decision makers still find have difficulty deciding for this new technology. For this reason, the benefits of using collaborative robots, mainly in Brazilian companies, is still not clear. This work contributes to the collaborative robot discussion and consequently to Industry 4.0 implementation by creating a digital twin of an existing process and inserting a collaborative robot in it. The results should be used by decision makers to decide for inserting this technology in their factories. |
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ABEPRO |
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Brazilian Journal of Operations & Production Management (Online) |
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Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0Digital ManufacturingCollaborative Robotics; Industry 4.0SimulationGoal: The main objective of this study is to analyze the impact of inserting a collaborative robot in a production line of a factory of the automotive sector. Design / Methodology / Approach: Two simulation environments were developed. The first one models the original operation without the collaborative robot. The second one evaluates the impact of inserting the robot. This work is quantitative. Results: The paper presents the use of digital manufacturing tools in a simulation of a collaborative operation between a human and a collaborative robot. The simulations with and without the collaborative robot were performed, and they make it possible to emphasize the benefits of the collaborative operation in a real production line. Limitations of the investigation: The first simulation scenario was validated from the real data provided by the factory. However, the second scenario is a suggestion, emphasizing the benefits of collaborative operation. Implementation of the second scenario was not conducted. Practical implications: Since its completion depended on support from the automotive sector, this work is noticeably practical. The real data used in the first scenario as well as the assumptions made in the second scenario allow one to conclude that it is possible to implement the propositions with the collaborative robot in the chosen line. Originality / Value: The use of the collaborative robot in Brazil was forbidden by regulation until recently. Even in other countries decision makers still find have difficulty deciding for this new technology. For this reason, the benefits of using collaborative robots, mainly in Brazilian companies, is still not clear. This work contributes to the collaborative robot discussion and consequently to Industry 4.0 implementation by creating a digital twin of an existing process and inserting a collaborative robot in it. The results should be used by decision makers to decide for inserting this technology in their factories. Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2019-05-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/78510.14488/BJOPM.2019.v16.n2.a8Brazilian Journal of Operations & Production Management; Vol. 16 No. 2 (2019): June, 2019; 261-2802237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/785/832https://bjopm.org.br/bjopm/article/view/785/847Copyright (c) 2019 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessLima, Fábiode Carvalho, Caroline NogueiraAcardi, Mayara B. S.dos Santos, Eldiane Gomesde Miranda, Gabriel BastosMaia, Rodrigo FilevMassote, Alexandre Augusto2021-07-13T14:14:19Zoai:ojs.bjopm.org.br:article/785Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:21.583152Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
title |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
spellingShingle |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 Lima, Fábio Digital Manufacturing Collaborative Robotics ; Industry 4.0 Simulation |
title_short |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
title_full |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
title_fullStr |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
title_full_unstemmed |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
title_sort |
Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0 |
author |
Lima, Fábio |
author_facet |
Lima, Fábio de Carvalho, Caroline Nogueira Acardi, Mayara B. S. dos Santos, Eldiane Gomes de Miranda, Gabriel Bastos Maia, Rodrigo Filev Massote, Alexandre Augusto |
author_role |
author |
author2 |
de Carvalho, Caroline Nogueira Acardi, Mayara B. S. dos Santos, Eldiane Gomes de Miranda, Gabriel Bastos Maia, Rodrigo Filev Massote, Alexandre Augusto |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Lima, Fábio de Carvalho, Caroline Nogueira Acardi, Mayara B. S. dos Santos, Eldiane Gomes de Miranda, Gabriel Bastos Maia, Rodrigo Filev Massote, Alexandre Augusto |
dc.subject.por.fl_str_mv |
Digital Manufacturing Collaborative Robotics ; Industry 4.0 Simulation |
topic |
Digital Manufacturing Collaborative Robotics ; Industry 4.0 Simulation |
description |
Goal: The main objective of this study is to analyze the impact of inserting a collaborative robot in a production line of a factory of the automotive sector. Design / Methodology / Approach: Two simulation environments were developed. The first one models the original operation without the collaborative robot. The second one evaluates the impact of inserting the robot. This work is quantitative. Results: The paper presents the use of digital manufacturing tools in a simulation of a collaborative operation between a human and a collaborative robot. The simulations with and without the collaborative robot were performed, and they make it possible to emphasize the benefits of the collaborative operation in a real production line. Limitations of the investigation: The first simulation scenario was validated from the real data provided by the factory. However, the second scenario is a suggestion, emphasizing the benefits of collaborative operation. Implementation of the second scenario was not conducted. Practical implications: Since its completion depended on support from the automotive sector, this work is noticeably practical. The real data used in the first scenario as well as the assumptions made in the second scenario allow one to conclude that it is possible to implement the propositions with the collaborative robot in the chosen line. Originality / Value: The use of the collaborative robot in Brazil was forbidden by regulation until recently. Even in other countries decision makers still find have difficulty deciding for this new technology. For this reason, the benefits of using collaborative robots, mainly in Brazilian companies, is still not clear. This work contributes to the collaborative robot discussion and consequently to Industry 4.0 implementation by creating a digital twin of an existing process and inserting a collaborative robot in it. The results should be used by decision makers to decide for inserting this technology in their factories. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-26 |
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/785 10.14488/BJOPM.2019.v16.n2.a8 |
url |
https://bjopm.org.br/bjopm/article/view/785 |
identifier_str_mv |
10.14488/BJOPM.2019.v16.n2.a8 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/785/832 https://bjopm.org.br/bjopm/article/view/785/847 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html 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. 16 No. 2 (2019): June, 2019; 261-280 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_ |
1797051461390041088 |