Reliability allocation considering risk indicators and their uncertainties through probabilistic composition of preferences
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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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 |
_version_ |
1814817835927470080 |