METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Brazilian Journal of Production Engineering |
Texto Completo: | https://periodicos.ufes.br/bjpe/article/view/V05N03_008 |
Resumo: | The present work has the objective of proposing a method for applying the concepts of industry 4.0 in automotive assembly lines. In methodological terms, a bibliometric analysis was conducted in order to build a bibliographic portfolio with a high impact factor on the subject. Then, the systemic analysis of such portfolio was carried out, extracting the main key technologies of industry 4.0 for the automotive sector, which are: internet of things, machine-learning systems, edge computing, digital twins, big data, cloud manufacturing and cyber-physical systems in manufacturing. As a research result, it was obtained a five step methodology for the application of industry 4.0 in automotive assembly companies. These steps are: search for industry 4.0 know-how, definition of goals and targets, training of employees, application of industry 4.0 key technologies and evaluation of results / feedback. |
id |
UFES-11_80da1efbd45fcfad0c9ce834074d4636 |
---|---|
oai_identifier_str |
oai:periodicos.ufes.br:article/25878 |
network_acronym_str |
UFES-11 |
network_name_str |
Brazilian Journal of Production Engineering |
repository_id_str |
|
spelling |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINESThe present work has the objective of proposing a method for applying the concepts of industry 4.0 in automotive assembly lines. In methodological terms, a bibliometric analysis was conducted in order to build a bibliographic portfolio with a high impact factor on the subject. Then, the systemic analysis of such portfolio was carried out, extracting the main key technologies of industry 4.0 for the automotive sector, which are: internet of things, machine-learning systems, edge computing, digital twins, big data, cloud manufacturing and cyber-physical systems in manufacturing. As a research result, it was obtained a five step methodology for the application of industry 4.0 in automotive assembly companies. These steps are: search for industry 4.0 know-how, definition of goals and targets, training of employees, application of industry 4.0 key technologies and evaluation of results / feedback.Universidade Federal do Espírito Santo - UFES2019-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos paresRevisão de literaturaapplication/pdfhttps://periodicos.ufes.br/bjpe/article/view/V05N03_008Brazilian Journal of Production Engineering; Vol. 5 No. 3 (2019): Número Regular (Julho); 104-119Brazilian Journal of Production Engineering; Vol. 5 Núm. 3 (2019): Número Regular (Julho); 104-119Brazilian Journal of Production Engineering; v. 5 n. 3 (2019): Número Regular (Julho); 104-1192447-5580reponame:Brazilian Journal of Production Engineeringinstname:Universidade Federal do Espírito Santo (UFES)instacron:UFESporhttps://periodicos.ufes.br/bjpe/article/view/V05N03_008/pdfCopyright (c) 2019 Brazilian Journal of Production Engineering - BJPEhttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessEndler, Cristian LucasAndrade Júnior, Pedro Paulo de2023-01-08T16:34:11Zoai:periodicos.ufes.br:article/25878Revistahttps://periodicos.ufes.br/bjpePUBhttps://periodicos.ufes.br/bjpe/oairodrigo.r.freitas@ufes.br2447-55802447-5580opendoar:2023-01-13T10:36:21.148075Brazilian Journal of Production Engineering - Universidade Federal do Espírito Santo (UFES)false |
dc.title.none.fl_str_mv |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
title |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
spellingShingle |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES Endler, Cristian Lucas |
title_short |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
title_full |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
title_fullStr |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
title_full_unstemmed |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
title_sort |
METHOD OF APPLICATION OF INDUSTRY 4.0 IN AUTOMOTIVE ASSEMBLY LINES |
author |
Endler, Cristian Lucas |
author_facet |
Endler, Cristian Lucas Andrade Júnior, Pedro Paulo de |
author_role |
author |
author2 |
Andrade Júnior, Pedro Paulo de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Endler, Cristian Lucas Andrade Júnior, Pedro Paulo de |
description |
The present work has the objective of proposing a method for applying the concepts of industry 4.0 in automotive assembly lines. In methodological terms, a bibliometric analysis was conducted in order to build a bibliographic portfolio with a high impact factor on the subject. Then, the systemic analysis of such portfolio was carried out, extracting the main key technologies of industry 4.0 for the automotive sector, which are: internet of things, machine-learning systems, edge computing, digital twins, big data, cloud manufacturing and cyber-physical systems in manufacturing. As a research result, it was obtained a five step methodology for the application of industry 4.0 in automotive assembly companies. These steps are: search for industry 4.0 know-how, definition of goals and targets, training of employees, application of industry 4.0 key technologies and evaluation of results / feedback. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo avaliado pelos pares Revisão de literatura |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufes.br/bjpe/article/view/V05N03_008 |
url |
https://periodicos.ufes.br/bjpe/article/view/V05N03_008 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufes.br/bjpe/article/view/V05N03_008/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Brazilian Journal of Production Engineering - BJPE http://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Brazilian Journal of Production Engineering - BJPE http://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Espírito Santo - UFES |
publisher.none.fl_str_mv |
Universidade Federal do Espírito Santo - UFES |
dc.source.none.fl_str_mv |
Brazilian Journal of Production Engineering; Vol. 5 No. 3 (2019): Número Regular (Julho); 104-119 Brazilian Journal of Production Engineering; Vol. 5 Núm. 3 (2019): Número Regular (Julho); 104-119 Brazilian Journal of Production Engineering; v. 5 n. 3 (2019): Número Regular (Julho); 104-119 2447-5580 reponame:Brazilian Journal of Production Engineering instname:Universidade Federal do Espírito Santo (UFES) instacron:UFES |
instname_str |
Universidade Federal do Espírito Santo (UFES) |
instacron_str |
UFES |
institution |
UFES |
reponame_str |
Brazilian Journal of Production Engineering |
collection |
Brazilian Journal of Production Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Production Engineering - Universidade Federal do Espírito Santo (UFES) |
repository.mail.fl_str_mv |
rodrigo.r.freitas@ufes.br |
_version_ |
1797047320114626560 |