Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences

Detalhes bibliográficos
Autor(a) principal: Garcia, Pauli Adriano de Almada
Data de Publicação: 2022
Outros Autores: Gavião, Luiz Octávio, Lima, Gilson Brito Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Escola Superior de Guerra (ESG)
Texto Completo: https://repositorio.esg.br/handle/123456789/1567
Resumo: In the development of new designs for systems or improvement of existing ones, the search for effective methods of reliability allocation is fundamental to achieve the minimum requirements. The different allocation methods can involve the consideration of many criteria. Among these criteria, some are quantitative, and others are qualitative, but in both cases, there will be uncertainties associated with the metrics. This article presents an approach based on the probabilistic composition of preferences to allocate the reliability of subsystems considering the uncertainties associated with each criterion considered. The results obtained with application to a case described in the literature demonstrate the efficacy of the proposed approach to deal with this class of problems.
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spelling Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferencesPesquisa operacionalProbabilidadeSistemas - confiabilidadeMétodos multicritériosIn the development of new designs for systems or improvement of existing ones, the search for effective methods of reliability allocation is fundamental to achieve the minimum requirements. The different allocation methods can involve the consideration of many criteria. Among these criteria, some are quantitative, and others are qualitative, but in both cases, there will be uncertainties associated with the metrics. This article presents an approach based on the probabilistic composition of preferences to allocate the reliability of subsystems considering the uncertainties associated with each criterion considered. The results obtained with application to a case described in the literature demonstrate the efficacy of the proposed approach to deal with this class of problems.Pesquisa Operacional2022-12-21T20:41:31Z2022-12-21T20:41:31Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf1678-51420101-7438https://repositorio.esg.br/handle/123456789/1567Garcia, Pauli Adriano de AlmadaGavião, Luiz OctávioLima, Gilson Brito Alvesengreponame:Repositório Institucional da Escola Superior de Guerra (ESG)instname:Escola Superior de Guerra (ESG)instacron:ESGinfo:eu-repo/semantics/openAccess2022-12-22T09:25:14Zoai:repositorio.esg.br:123456789/1567Repositório InstitucionalPUBhttps://repositorio.esg.brpatricia.ajus@esg.bropendoar:2022-12-22T09:25:14Repositório Institucional da Escola Superior de Guerra (ESG) - Escola Superior de Guerra (ESG)false
dc.title.none.fl_str_mv Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
title Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
spellingShingle Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
Garcia, Pauli Adriano de Almada
Pesquisa operacional
Probabilidade
Sistemas - confiabilidade
Métodos multicritérios
title_short Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
title_full Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
title_fullStr Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
title_full_unstemmed Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
title_sort Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
author Garcia, Pauli Adriano de Almada
author_facet Garcia, Pauli Adriano de Almada
Gavião, Luiz Octávio
Lima, Gilson Brito Alves
author_role author
author2 Gavião, Luiz Octávio
Lima, Gilson Brito Alves
author2_role author
author
dc.contributor.author.fl_str_mv Garcia, Pauli Adriano de Almada
Gavião, Luiz Octávio
Lima, Gilson Brito Alves
dc.subject.por.fl_str_mv Pesquisa operacional
Probabilidade
Sistemas - confiabilidade
Métodos multicritérios
topic Pesquisa operacional
Probabilidade
Sistemas - confiabilidade
Métodos multicritérios
description In the development of new designs for systems or improvement of existing ones, the search for effective methods of reliability allocation is fundamental to achieve the minimum requirements. The different allocation methods can involve the consideration of many criteria. Among these criteria, some are quantitative, and others are qualitative, but in both cases, there will be uncertainties associated with the metrics. This article presents an approach based on the probabilistic composition of preferences to allocate the reliability of subsystems considering the uncertainties associated with each criterion considered. The results obtained with application to a case described in the literature demonstrate the efficacy of the proposed approach to deal with this class of problems.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-21T20:41:31Z
2022-12-21T20:41:31Z
2022
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 1678-5142
0101-7438
https://repositorio.esg.br/handle/123456789/1567
identifier_str_mv 1678-5142
0101-7438
url https://repositorio.esg.br/handle/123456789/1567
dc.language.iso.fl_str_mv eng
language eng
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.publisher.none.fl_str_mv Pesquisa Operacional
publisher.none.fl_str_mv Pesquisa Operacional
dc.source.none.fl_str_mv reponame:Repositório Institucional da Escola Superior de Guerra (ESG)
instname:Escola Superior de Guerra (ESG)
instacron:ESG
instname_str Escola Superior de Guerra (ESG)
instacron_str ESG
institution ESG
reponame_str Repositório Institucional da Escola Superior de Guerra (ESG)
collection Repositório Institucional da Escola Superior de Guerra (ESG)
repository.name.fl_str_mv Repositório Institucional da Escola Superior de Guerra (ESG) - Escola Superior de Guerra (ESG)
repository.mail.fl_str_mv patricia.ajus@esg.br
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