Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100802 |
Resumo: | Abstract Paper aims Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method. Originality The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study. Research method The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil. Main findings A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed. Implication for theory and practice The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment. |
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Diagnostic assessment of product lifecycle management based on Industry 4.0 requirementsPLMI4.0Maturity modelAHPAbstract Paper aims Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method. Originality The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study. Research method The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil. Main findings A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed. Implication for theory and practice The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment.Associação Brasileira de Engenharia de Produção2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100802Production v.32 2022reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20210082info:eu-repo/semantics/openAccessSantos,Kássio Cabral Pereira dosLoures,Eduardo de Freitas RochaCanciglieri Junior,OsirisMicosky,André Luizeng2022-02-18T00:00:00Zoai:scielo:S0103-65132022000100802Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2022-02-18T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
title |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
spellingShingle |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements Santos,Kássio Cabral Pereira dos PLM I4.0 Maturity model AHP |
title_short |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
title_full |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
title_fullStr |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
title_full_unstemmed |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
title_sort |
Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements |
author |
Santos,Kássio Cabral Pereira dos |
author_facet |
Santos,Kássio Cabral Pereira dos Loures,Eduardo de Freitas Rocha Canciglieri Junior,Osiris Micosky,André Luiz |
author_role |
author |
author2 |
Loures,Eduardo de Freitas Rocha Canciglieri Junior,Osiris Micosky,André Luiz |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos,Kássio Cabral Pereira dos Loures,Eduardo de Freitas Rocha Canciglieri Junior,Osiris Micosky,André Luiz |
dc.subject.por.fl_str_mv |
PLM I4.0 Maturity model AHP |
topic |
PLM I4.0 Maturity model AHP |
description |
Abstract Paper aims Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method. Originality The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study. Research method The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil. Main findings A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed. Implication for theory and practice The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100802 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100802 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20210082 |
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.32 2022 reponame:Production 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 |
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 |
_version_ |
1754213154893594624 |