Expert systems and knowledge management for failure prediction to onshore pipelines: Issue to industry 4.0 implementation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T16:27:37.605010Repositório 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 |
|
_version_ |
1808128655493169152 |