Using multicriteria analysis and fuzzy logic for project portfolio management

Detalhes bibliográficos
Autor(a) principal: Agápito, Andrezza de Oliveira
Data de Publicação: 2019
Outros Autores: Vianna, Marcilene de Fátima Dianin, Moratori, Patrick B., Vianna, Dalessandro Soares, Meza, Edwin Benito Mitacc, Matias, Italo de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/681
Resumo: Goal: to propose a hybrid method, combining AHP and Fuzzy, for project portfolio management. Originality/value: this paper meets the positive characteristics of both methods, adequately weighing the criteria and contemplating process subjectivity. Limitations that exist in both methods, such as the maximum number of alternatives and the difficulty of inserting new alternatives at the end of the process, are overcome. Design/methodology/approach: the AHP is applied for determining the criteria weights and fuzzy is used to compare the alternatives for each criterion. Results: the results show that the proposed hybrid method allows the ranking of many alternatives and provides higher reliability for decision makers. It must be noted that the system is fed by performance indicators, which minimize the subjectivity in decision-making—an important characteristic in the technology management. Moreover, the results provide the possibility of changing the number of projects at any time without influencing the outcome. Practical implications: the proposed hybrid method can be used in different problems that have many alternatives or subjectivity.
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spelling Using multicriteria analysis and fuzzy logic for project portfolio managementMulticriteria AnalysisProject Portfolio ManagementTechnological Management FuzzyAHPGoal: to propose a hybrid method, combining AHP and Fuzzy, for project portfolio management. Originality/value: this paper meets the positive characteristics of both methods, adequately weighing the criteria and contemplating process subjectivity. Limitations that exist in both methods, such as the maximum number of alternatives and the difficulty of inserting new alternatives at the end of the process, are overcome. Design/methodology/approach: the AHP is applied for determining the criteria weights and fuzzy is used to compare the alternatives for each criterion. Results: the results show that the proposed hybrid method allows the ranking of many alternatives and provides higher reliability for decision makers. It must be noted that the system is fed by performance indicators, which minimize the subjectivity in decision-making—an important characteristic in the technology management. Moreover, the results provide the possibility of changing the number of projects at any time without influencing the outcome. Practical implications: the proposed hybrid method can be used in different problems that have many alternatives or subjectivity.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2019-05-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/68110.14488/BJOPM.2019.v16.n2.a14Brazilian Journal of Operations & Production Management; Vol. 16 No. 2 (2019): June, 2019; 347-3572237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/681/838https://bjopm.org.br/bjopm/article/view/681/845Copyright (c) 2019 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessAgápito, Andrezza de OliveiraVianna, Marcilene de Fátima DianinMoratori, Patrick B.Vianna, Dalessandro SoaresMeza, Edwin Benito MitaccMatias, Italo de Oliveira2021-07-13T14:14:20Zoai:ojs.bjopm.org.br:article/681Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:20.231258Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Using multicriteria analysis and fuzzy logic for project portfolio management
title Using multicriteria analysis and fuzzy logic for project portfolio management
spellingShingle Using multicriteria analysis and fuzzy logic for project portfolio management
Agápito, Andrezza de Oliveira
Multicriteria Analysis
Project Portfolio Management
Technological Management Fuzzy
AHP
title_short Using multicriteria analysis and fuzzy logic for project portfolio management
title_full Using multicriteria analysis and fuzzy logic for project portfolio management
title_fullStr Using multicriteria analysis and fuzzy logic for project portfolio management
title_full_unstemmed Using multicriteria analysis and fuzzy logic for project portfolio management
title_sort Using multicriteria analysis and fuzzy logic for project portfolio management
author Agápito, Andrezza de Oliveira
author_facet Agápito, Andrezza de Oliveira
Vianna, Marcilene de Fátima Dianin
Moratori, Patrick B.
Vianna, Dalessandro Soares
Meza, Edwin Benito Mitacc
Matias, Italo de Oliveira
author_role author
author2 Vianna, Marcilene de Fátima Dianin
Moratori, Patrick B.
Vianna, Dalessandro Soares
Meza, Edwin Benito Mitacc
Matias, Italo de Oliveira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Agápito, Andrezza de Oliveira
Vianna, Marcilene de Fátima Dianin
Moratori, Patrick B.
Vianna, Dalessandro Soares
Meza, Edwin Benito Mitacc
Matias, Italo de Oliveira
dc.subject.por.fl_str_mv Multicriteria Analysis
Project Portfolio Management
Technological Management Fuzzy
AHP
topic Multicriteria Analysis
Project Portfolio Management
Technological Management Fuzzy
AHP
description Goal: to propose a hybrid method, combining AHP and Fuzzy, for project portfolio management. Originality/value: this paper meets the positive characteristics of both methods, adequately weighing the criteria and contemplating process subjectivity. Limitations that exist in both methods, such as the maximum number of alternatives and the difficulty of inserting new alternatives at the end of the process, are overcome. Design/methodology/approach: the AHP is applied for determining the criteria weights and fuzzy is used to compare the alternatives for each criterion. Results: the results show that the proposed hybrid method allows the ranking of many alternatives and provides higher reliability for decision makers. It must be noted that the system is fed by performance indicators, which minimize the subjectivity in decision-making—an important characteristic in the technology management. Moreover, the results provide the possibility of changing the number of projects at any time without influencing the outcome. Practical implications: the proposed hybrid method can be used in different problems that have many alternatives or subjectivity.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/681
10.14488/BJOPM.2019.v16.n2.a14
url https://bjopm.org.br/bjopm/article/view/681
identifier_str_mv 10.14488/BJOPM.2019.v16.n2.a14
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/681/838
https://bjopm.org.br/bjopm/article/view/681/845
dc.rights.driver.fl_str_mv Copyright (c) 2019 Brazilian Journal of Operations & Production Management
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Brazilian Journal of Operations & Production Management
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 16 No. 2 (2019): June, 2019; 347-357
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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