A MultiCriteria Group Decision Support System for Industrial Diagnosis
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
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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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 |
_version_ |
1799874741377433600 |