Decision support based on performance data using the analytic hierarchy process without expert judgement

Detalhes bibliográficos
Autor(a) principal: Gavião, Luiz Octávio
Data de Publicação: 2024
Outros Autores: Lima, Gilson Brito Alves, Garcia, Pauli Adriano de Almada, Teixeira, Leandro da Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Escola Superior de Guerra (ESG)
Texto Completo: https://repositorio.esg.br/handle/123456789/1863
Resumo: This article proposes a decision model based on the Analytic Hierarchy Process that allows carrying out the evaluation of alternatives in a multicriteria problem, without expert judgement. The algorithm is based on AHP. The novelty is the transformation of a performance data matrix into pairwise evaluation matrices, instead of using expert's judgement. The algorithm was applied in a defense procurement problem for the choice of a light 4x4 vehicle for amphibious operations. the results allowed ranking the 17 models based on catalog data. The algorithm depends on the availability of catalog data, not always available in open sources in the defense industry. Decision support involves several activities in operations Management and AHP has been frequently applied to solve problems in this sector. The proposed algorithm allows performing deterministic or probabilistic evaluations, depending on the degree of uncertainty and precision involving the systems performance data. These assessments are composed of scenarios to facilitate decision making. AHP tipically uses experts for pairwise judgements. However, human judgment is subject to outcomes that involve bias and cognitive distortions. Few studies have modeled the AHP without experts, even so they used human judgment in some part of the process. The approach proposed here does not require human judgement and returns two different results, based on the database precision. This new approach gives decision makers a different perspective and can alter the final choice.
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spelling Decision support based on performance data using the analytic hierarchy process without expert judgementTomada de decisãoAnálise Hierárquica de Processos (AHP)Indústria de defesaOperações militaresThis article proposes a decision model based on the Analytic Hierarchy Process that allows carrying out the evaluation of alternatives in a multicriteria problem, without expert judgement. The algorithm is based on AHP. The novelty is the transformation of a performance data matrix into pairwise evaluation matrices, instead of using expert's judgement. The algorithm was applied in a defense procurement problem for the choice of a light 4x4 vehicle for amphibious operations. the results allowed ranking the 17 models based on catalog data. The algorithm depends on the availability of catalog data, not always available in open sources in the defense industry. Decision support involves several activities in operations Management and AHP has been frequently applied to solve problems in this sector. The proposed algorithm allows performing deterministic or probabilistic evaluations, depending on the degree of uncertainty and precision involving the systems performance data. These assessments are composed of scenarios to facilitate decision making. AHP tipically uses experts for pairwise judgements. However, human judgment is subject to outcomes that involve bias and cognitive distortions. Few studies have modeled the AHP without experts, even so they used human judgment in some part of the process. The approach proposed here does not require human judgement and returns two different results, based on the database precision. This new approach gives decision makers a different perspective and can alter the final choice.Brazilian Journal of Operations & Production Management (BJ O & PM)2024-02-02T19:30:37Z2024-02-02T19:30:37Z2024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf2237-8960https://repositorio.esg.br/handle/123456789/1863Gavião, Luiz OctávioLima, Gilson Brito AlvesGarcia, Pauli Adriano de AlmadaTeixeira, Leandro da Silvaengreponame:Repositório Institucional da Escola Superior de Guerra (ESG)instname:Escola Superior de Guerra (ESG)instacron:ESGinfo:eu-repo/semantics/openAccess2024-02-03T09:25:15Zoai:repositorio.esg.br:123456789/1863Repositório InstitucionalPUBhttps://repositorio.esg.brpatricia.ajus@esg.bropendoar:2024-02-03T09:25:15Repositório Institucional da Escola Superior de Guerra (ESG) - Escola Superior de Guerra (ESG)false
dc.title.none.fl_str_mv Decision support based on performance data using the analytic hierarchy process without expert judgement
title Decision support based on performance data using the analytic hierarchy process without expert judgement
spellingShingle Decision support based on performance data using the analytic hierarchy process without expert judgement
Gavião, Luiz Octávio
Tomada de decisão
Análise Hierárquica de Processos (AHP)
Indústria de defesa
Operações militares
title_short Decision support based on performance data using the analytic hierarchy process without expert judgement
title_full Decision support based on performance data using the analytic hierarchy process without expert judgement
title_fullStr Decision support based on performance data using the analytic hierarchy process without expert judgement
title_full_unstemmed Decision support based on performance data using the analytic hierarchy process without expert judgement
title_sort Decision support based on performance data using the analytic hierarchy process without expert judgement
author Gavião, Luiz Octávio
author_facet Gavião, Luiz Octávio
Lima, Gilson Brito Alves
Garcia, Pauli Adriano de Almada
Teixeira, Leandro da Silva
author_role author
author2 Lima, Gilson Brito Alves
Garcia, Pauli Adriano de Almada
Teixeira, Leandro da Silva
author2_role author
author
author
dc.contributor.author.fl_str_mv Gavião, Luiz Octávio
Lima, Gilson Brito Alves
Garcia, Pauli Adriano de Almada
Teixeira, Leandro da Silva
dc.subject.por.fl_str_mv Tomada de decisão
Análise Hierárquica de Processos (AHP)
Indústria de defesa
Operações militares
topic Tomada de decisão
Análise Hierárquica de Processos (AHP)
Indústria de defesa
Operações militares
description This article proposes a decision model based on the Analytic Hierarchy Process that allows carrying out the evaluation of alternatives in a multicriteria problem, without expert judgement. The algorithm is based on AHP. The novelty is the transformation of a performance data matrix into pairwise evaluation matrices, instead of using expert's judgement. The algorithm was applied in a defense procurement problem for the choice of a light 4x4 vehicle for amphibious operations. the results allowed ranking the 17 models based on catalog data. The algorithm depends on the availability of catalog data, not always available in open sources in the defense industry. Decision support involves several activities in operations Management and AHP has been frequently applied to solve problems in this sector. The proposed algorithm allows performing deterministic or probabilistic evaluations, depending on the degree of uncertainty and precision involving the systems performance data. These assessments are composed of scenarios to facilitate decision making. AHP tipically uses experts for pairwise judgements. However, human judgment is subject to outcomes that involve bias and cognitive distortions. Few studies have modeled the AHP without experts, even so they used human judgment in some part of the process. The approach proposed here does not require human judgement and returns two different results, based on the database precision. This new approach gives decision makers a different perspective and can alter the final choice.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-02T19:30:37Z
2024-02-02T19:30:37Z
2024
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 2237-8960
https://repositorio.esg.br/handle/123456789/1863
identifier_str_mv 2237-8960
url https://repositorio.esg.br/handle/123456789/1863
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 Brazilian Journal of Operations & Production Management (BJ O & PM)
publisher.none.fl_str_mv Brazilian Journal of Operations & Production Management (BJ O & PM)
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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