Using multicriteria analysis and fuzzy logic for project portfolio management
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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oai:ojs.bjopm.org.br:article/681 |
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Brazilian Journal of Operations & Production Management (Online) |
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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 |
_version_ |
1797051461055545344 |