A MultiCriteria Group Decision Support System for Industrial Diagnosis

Detalhes bibliográficos
Autor(a) principal: Djamila, Hamdadou
Data de Publicação: 2011
Outros Autores: Libourel, Thérèse
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334
Resumo: The diagnosis is a research key element to improve business performance. However, the diagnosis methods do not possess a unique and universal aspect in a context where diagnosis diversity and complexity are increasing. Thus, there is, currently, no susceptible diagnosis method which ensures the relevance, efficiency and effectiveness of maintenance in all circumstances. The work presented in this article aims to eliminate or at least lessen the impact of unsuccessful attempts of the diagnosis tools development on the good functioning of a company. The development of the multicriteria group decision support system for diagnosis assistance (DIAG-GDSS) is an answer to the problem; it is a collective decision-making tool for the choice of the most relevant diagnosis method. On the basis of a set of criteria and diagnosis methods, carefully selected and implemented , the developed tool allows:• to assist decision makers in maintenance, according to their preferences often conflicting, to adopta diagnosis method;• to make a quick and efficient diagnosis using the developed methods.In order to meet this group decision where different viewpoints are considered, we propose a multilateral negotiation protocol, coupled with a multicriteria method namely ELECTRE III. This protocol features a coordinator agent and a set of participating agents, trying to find a compromise that best meets all the decision makers.
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spelling A MultiCriteria Group Decision Support System for Industrial Diagnosisgroup decision support systemmultiCriteria analysisdiagnosismulti agents systemnegotiation protocolELECTRE IIIThe diagnosis is a research key element to improve business performance. However, the diagnosis methods do not possess a unique and universal aspect in a context where diagnosis diversity and complexity are increasing. Thus, there is, currently, no susceptible diagnosis method which ensures the relevance, efficiency and effectiveness of maintenance in all circumstances. The work presented in this article aims to eliminate or at least lessen the impact of unsuccessful attempts of the diagnosis tools development on the good functioning of a company. The development of the multicriteria group decision support system for diagnosis assistance (DIAG-GDSS) is an answer to the problem; it is a collective decision-making tool for the choice of the most relevant diagnosis method. On the basis of a set of criteria and diagnosis methods, carefully selected and implemented , the developed tool allows:• to assist decision makers in maintenance, according to their preferences often conflicting, to adopta diagnosis method;• to make a quick and efficient diagnosis using the developed methods.In order to meet this group decision where different viewpoints are considered, we propose a multilateral negotiation protocol, coupled with a multicriteria method namely ELECTRE III. This protocol features a coordinator agent and a set of participating agents, trying to find a compromise that best meets all the decision makers.Editora da UFLA2011-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334INFOCOMP Journal of Computer Science; Vol. 10 No. 3 (2011): September, 2011; 12-241982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334/318Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessDjamila, HamdadouLibourel, Thérèse2015-07-29T12:20:42Zoai:infocomp.dcc.ufla.br:article/334Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:32.590991INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv A MultiCriteria Group Decision Support System for Industrial Diagnosis
title A MultiCriteria Group Decision Support System for Industrial Diagnosis
spellingShingle A MultiCriteria Group Decision Support System for Industrial Diagnosis
Djamila, Hamdadou
group decision support system
multiCriteria analysis
diagnosis
multi agents system
negotiation protocol
ELECTRE III
title_short A MultiCriteria Group Decision Support System for Industrial Diagnosis
title_full A MultiCriteria Group Decision Support System for Industrial Diagnosis
title_fullStr A MultiCriteria Group Decision Support System for Industrial Diagnosis
title_full_unstemmed A MultiCriteria Group Decision Support System for Industrial Diagnosis
title_sort A MultiCriteria Group Decision Support System for Industrial Diagnosis
author Djamila, Hamdadou
author_facet Djamila, Hamdadou
Libourel, Thérèse
author_role author
author2 Libourel, Thérèse
author2_role author
dc.contributor.author.fl_str_mv Djamila, Hamdadou
Libourel, Thérèse
dc.subject.por.fl_str_mv group decision support system
multiCriteria analysis
diagnosis
multi agents system
negotiation protocol
ELECTRE III
topic group decision support system
multiCriteria analysis
diagnosis
multi agents system
negotiation protocol
ELECTRE III
description The diagnosis is a research key element to improve business performance. However, the diagnosis methods do not possess a unique and universal aspect in a context where diagnosis diversity and complexity are increasing. Thus, there is, currently, no susceptible diagnosis method which ensures the relevance, efficiency and effectiveness of maintenance in all circumstances. The work presented in this article aims to eliminate or at least lessen the impact of unsuccessful attempts of the diagnosis tools development on the good functioning of a company. The development of the multicriteria group decision support system for diagnosis assistance (DIAG-GDSS) is an answer to the problem; it is a collective decision-making tool for the choice of the most relevant diagnosis method. On the basis of a set of criteria and diagnosis methods, carefully selected and implemented , the developed tool allows:• to assist decision makers in maintenance, according to their preferences often conflicting, to adopta diagnosis method;• to make a quick and efficient diagnosis using the developed methods.In order to meet this group decision where different viewpoints are considered, we propose a multilateral negotiation protocol, coupled with a multicriteria method namely ELECTRE III. This protocol features a coordinator agent and a set of participating agents, trying to find a compromise that best meets all the decision makers.
publishDate 2011
dc.date.none.fl_str_mv 2011-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/334/318
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 10 No. 3 (2011): September, 2011; 12-24
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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