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 [UNESP]
Data de Publicação: 2020
Outros Autores: Muniz, Jorge [UNESP], Balestieri, José Antonio Perrella [UNESP], Matelli, José Alexandre [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0104-530x5771-20
http://hdl.handle.net/11449/206515
Resumo: 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.
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spelling Expert systems and knowledge management for failure prediction to onshore pipelines: Issue to industry 4.0 implementationSistemas especialistas e gestão do conhecimento para previsão de falhas em dutos terrestres: Uma questão para a implementação da indústria 4.0Expert systemIndustry 4.0Knowledge managementMaintenanceThe 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Universidade Estadual Paulista - UNESP Faculdade de Engenharia de Guaratinguetá Departamento de EnergiaUniversidade Estadual Paulista - UNESP Faculdade de Engenharia de Guaratinguetá Departamento de ProduçãoUniversidade Estadual Paulista - UNESP Faculdade de Engenharia de Guaratinguetá Departamento de EnergiaUniversidade Estadual Paulista - UNESP Faculdade de Engenharia de Guaratinguetá Departamento de ProduçãoUniversidade Estadual Paulista (Unesp)Buccieri, Gilberto Pachoal [UNESP]Muniz, Jorge [UNESP]Balestieri, José Antonio Perrella [UNESP]Matelli, José Alexandre [UNESP]2021-06-25T10:33:28Z2021-06-25T10:33:28Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1590/0104-530x5771-20Gestao e Producao, v. 27, n. 3, 2020.1806-96490104-530Xhttp://hdl.handle.net/11449/20651510.1590/0104-530x5771-20S0104-530X20200003003052-s2.0-85091063380S0104-530X2020000300305.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGestao e Producaoinfo:eu-repo/semantics/openAccess2024-07-02T17:37:05Zoai:repositorio.unesp.br:11449/206515Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-07-02T17:37:05Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Expert systems and knowledge management for failure prediction to onshore pipelines: Issue to industry 4.0 implementation
Sistemas especialistas e gestão do conhecimento para previsão de falhas em dutos terrestres: Uma questão para a implementação da indústria 4.0
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 [UNESP]
Expert system
Industry 4.0
Knowledge management
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 [UNESP]
author_facet Buccieri, Gilberto Pachoal [UNESP]
Muniz, Jorge [UNESP]
Balestieri, José Antonio Perrella [UNESP]
Matelli, José Alexandre [UNESP]
author_role author
author2 Muniz, Jorge [UNESP]
Balestieri, José Antonio Perrella [UNESP]
Matelli, José Alexandre [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Buccieri, Gilberto Pachoal [UNESP]
Muniz, Jorge [UNESP]
Balestieri, José Antonio Perrella [UNESP]
Matelli, José Alexandre [UNESP]
dc.subject.por.fl_str_mv Expert system
Industry 4.0
Knowledge management
Maintenance
topic Expert system
Industry 4.0
Knowledge management
Maintenance
description 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
2021-06-25T10:33:28Z
2021-06-25T10:33:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/0104-530x5771-20
Gestao e Producao, v. 27, n. 3, 2020.
1806-9649
0104-530X
http://hdl.handle.net/11449/206515
10.1590/0104-530x5771-20
S0104-530X2020000300305
2-s2.0-85091063380
S0104-530X2020000300305.pdf
url http://dx.doi.org/10.1590/0104-530x5771-20
http://hdl.handle.net/11449/206515
identifier_str_mv Gestao e Producao, v. 27, n. 3, 2020.
1806-9649
0104-530X
10.1590/0104-530x5771-20
S0104-530X2020000300305
2-s2.0-85091063380
S0104-530X2020000300305.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Gestao e Producao
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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