Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0

Detalhes bibliográficos
Autor(a) principal: Lima, Fábio
Data de Publicação: 2019
Outros Autores: de Carvalho, Caroline Nogueira, Acardi, Mayara B. S., dos Santos, Eldiane Gomes, de Miranda, Gabriel Bastos, Maia, Rodrigo Filev, Massote, Alexandre Augusto
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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spelling 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