Decision support based on performance data using the analytic hierarchy process without expert judgement
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/123456789/1863 |
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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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 |
_version_ |
1814817832992505856 |