Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation

Detalhes bibliográficos
Autor(a) principal: Buccieri,Gilberto Pachoal
Data de Publicação: 2020
Outros Autores: Muniz Jr.,Jorge, Balestieri,José Antonio Perrella, Matelli,José Alexandre
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300305
Resumo: Abstract: The paper aims to propose an Expert System to predict the failure of onshore pipelines. Knowledge Management supports expertise sharing throughout the organization. The Expert System Prototype Model proposed is classified as Empirical Descriptive Research, and may support maintenance management. The findings evidence that Expert System proposed grounded in employee knowledge may be considered a promising solution to support Industry 4.0 implementation. The Expert System facilitates the decision-making of the experts so that the employees’ expertise can be better used in the implementation of Industry 4.0 and to face the new challenges related to the daily work in the organization. In this context, the Expert System can be considered as an innovative approach to manage maintenance processes and supporting reliable, consistent decisions during I.4 implementation.
id UFSCAR-3_820d70f616aec003181ca03944626922
oai_identifier_str oai:scielo:S0104-530X2020000300305
network_acronym_str UFSCAR-3
network_name_str Gestão & Produção
repository_id_str
spelling Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementationExpert systemKnowledge managementIndustry 4.0MaintenanceAbstract: The paper aims to propose an Expert System to predict the failure of onshore pipelines. Knowledge Management supports expertise sharing throughout the organization. The Expert System Prototype Model proposed is classified as Empirical Descriptive Research, and may support maintenance management. The findings evidence that Expert System proposed grounded in employee knowledge may be considered a promising solution to support Industry 4.0 implementation. The Expert System facilitates the decision-making of the experts so that the employees’ expertise can be better used in the implementation of Industry 4.0 and to face the new challenges related to the daily work in the organization. In this context, the Expert System can be considered as an innovative approach to manage maintenance processes and supporting reliable, consistent decisions during I.4 implementation.Universidade Federal de São Carlos2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300305Gestão & Produção v.27 n.3 2020reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/0104-530x5771-20info:eu-repo/semantics/openAccessBuccieri,Gilberto PachoalMuniz Jr.,JorgeBalestieri,José Antonio PerrellaMatelli,José Alexandreeng2020-06-25T00:00:00Zoai:scielo:S0104-530X2020000300305Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2020-06-25T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
title Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
spellingShingle Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
Buccieri,Gilberto Pachoal
Expert system
Knowledge management
Industry 4.0
Maintenance
title_short Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
title_full Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
title_fullStr Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
title_full_unstemmed Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
title_sort Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation
author Buccieri,Gilberto Pachoal
author_facet Buccieri,Gilberto Pachoal
Muniz Jr.,Jorge
Balestieri,José Antonio Perrella
Matelli,José Alexandre
author_role author
author2 Muniz Jr.,Jorge
Balestieri,José Antonio Perrella
Matelli,José Alexandre
author2_role author
author
author
dc.contributor.author.fl_str_mv Buccieri,Gilberto Pachoal
Muniz Jr.,Jorge
Balestieri,José Antonio Perrella
Matelli,José Alexandre
dc.subject.por.fl_str_mv Expert system
Knowledge management
Industry 4.0
Maintenance
topic Expert system
Knowledge management
Industry 4.0
Maintenance
description Abstract: The paper aims to propose an Expert System to predict the failure of onshore pipelines. Knowledge Management supports expertise sharing throughout the organization. The Expert System Prototype Model proposed is classified as Empirical Descriptive Research, and may support maintenance management. The findings evidence that Expert System proposed grounded in employee knowledge may be considered a promising solution to support Industry 4.0 implementation. The Expert System facilitates the decision-making of the experts so that the employees’ expertise can be better used in the implementation of Industry 4.0 and to face the new challenges related to the daily work in the organization. In this context, the Expert System can be considered as an innovative approach to manage maintenance processes and supporting reliable, consistent decisions during I.4 implementation.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0104-530X2020000300305
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300305
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0104-530x5771-20
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 Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.27 n.3 2020
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
_version_ 1750118207273828352

Registros relacionados