Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/0104-530X2344-16 http://hdl.handle.net/11449/179776 |
Resumo: | The Goal Programming (GP) is a multi-criteria approach of Operational Research that has been used for solving complex decision problems. This paper proposes a new Fuzzy Goal Programming (FGP) model to handle the process of capital budget of companies in an economic environment under uncertainty. For performance comparison purposes, the FGP and another recently published model developed for the same purposes were applied to data from a company that was the object of the study. The modeling and optimization were made with the GAMS software - 23.6.5 and using the CPLEX solver. The results obtained from the FGP model provided higher improvements than those obtained with the alternative model, as for example: increased profitability index, reduced payback and better application of the capital available in the budget. Furthermore, the FGP model has flexibility features that allow the manager to simulate, quickly and easily obtaining results about scenarios under uncertainty. |
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Repositório Institucional da UNESP |
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Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertaintyCapital budgetEconomic environment under uncertaintyFuzzy Goal ProgrammingThe Goal Programming (GP) is a multi-criteria approach of Operational Research that has been used for solving complex decision problems. This paper proposes a new Fuzzy Goal Programming (FGP) model to handle the process of capital budget of companies in an economic environment under uncertainty. For performance comparison purposes, the FGP and another recently published model developed for the same purposes were applied to data from a company that was the object of the study. The modeling and optimization were made with the GAMS software - 23.6.5 and using the CPLEX solver. The results obtained from the FGP model provided higher improvements than those obtained with the alternative model, as for example: increased profitability index, reduced payback and better application of the capital available in the budget. Furthermore, the FGP model has flexibility features that allow the manager to simulate, quickly and easily obtaining results about scenarios under uncertainty.Faculdade de Engenharia Universidade Estadual Paulista - UNESP, Av. Ariberto Pereira da Cunha, 333Universidade Federal de Itajubá - UNIFEI Campus Prof. José Rodrigues Seabra - Sede, Av. BPS, 1303Faculdade de Engenharia Universidade Estadual Paulista - UNESP, Av. Ariberto Pereira da Cunha, 333Universidade Estadual Paulista (Unesp)Universidade Federal de Itajubá - UNIFEIDa Silva, Aneirson Francisco [UNESP]Marins, Fernando Augusto Silva [UNESP]Dias, Erica Ximenes [UNESP]De Carvalho Miranda, Rafael2018-12-11T17:36:43Z2018-12-11T17:36:43Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article148-159application/pdfhttp://dx.doi.org/10.1590/0104-530X2344-16Gestao e Producao, v. 25, n. 1, p. 148-159, 2018.1806-96490104-530Xhttp://hdl.handle.net/11449/17977610.1590/0104-530X2344-16S0104-530X20180001001482-s2.0-85045443359S0104-530X2018000100148.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGestao e Producaoinfo:eu-repo/semantics/openAccess2024-07-02T17:37:20Zoai:repositorio.unesp.br:11449/179776Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:35:02.019035Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
title |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
spellingShingle |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty Da Silva, Aneirson Francisco [UNESP] Capital budget Economic environment under uncertainty Fuzzy Goal Programming |
title_short |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
title_full |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
title_fullStr |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
title_full_unstemmed |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
title_sort |
Fuzzy Goal Programming applied to the process of capital budget in an economic environment under uncertainty |
author |
Da Silva, Aneirson Francisco [UNESP] |
author_facet |
Da Silva, Aneirson Francisco [UNESP] Marins, Fernando Augusto Silva [UNESP] Dias, Erica Ximenes [UNESP] De Carvalho Miranda, Rafael |
author_role |
author |
author2 |
Marins, Fernando Augusto Silva [UNESP] Dias, Erica Ximenes [UNESP] De Carvalho Miranda, Rafael |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de Itajubá - UNIFEI |
dc.contributor.author.fl_str_mv |
Da Silva, Aneirson Francisco [UNESP] Marins, Fernando Augusto Silva [UNESP] Dias, Erica Ximenes [UNESP] De Carvalho Miranda, Rafael |
dc.subject.por.fl_str_mv |
Capital budget Economic environment under uncertainty Fuzzy Goal Programming |
topic |
Capital budget Economic environment under uncertainty Fuzzy Goal Programming |
description |
The Goal Programming (GP) is a multi-criteria approach of Operational Research that has been used for solving complex decision problems. This paper proposes a new Fuzzy Goal Programming (FGP) model to handle the process of capital budget of companies in an economic environment under uncertainty. For performance comparison purposes, the FGP and another recently published model developed for the same purposes were applied to data from a company that was the object of the study. The modeling and optimization were made with the GAMS software - 23.6.5 and using the CPLEX solver. The results obtained from the FGP model provided higher improvements than those obtained with the alternative model, as for example: increased profitability index, reduced payback and better application of the capital available in the budget. Furthermore, the FGP model has flexibility features that allow the manager to simulate, quickly and easily obtaining results about scenarios under uncertainty. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:36:43Z 2018-12-11T17:36:43Z 2018-01-01 |
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 |
http://dx.doi.org/10.1590/0104-530X2344-16 Gestao e Producao, v. 25, n. 1, p. 148-159, 2018. 1806-9649 0104-530X http://hdl.handle.net/11449/179776 10.1590/0104-530X2344-16 S0104-530X2018000100148 2-s2.0-85045443359 S0104-530X2018000100148.pdf |
url |
http://dx.doi.org/10.1590/0104-530X2344-16 http://hdl.handle.net/11449/179776 |
identifier_str_mv |
Gestao e Producao, v. 25, n. 1, p. 148-159, 2018. 1806-9649 0104-530X 10.1590/0104-530X2344-16 S0104-530X2018000100148 2-s2.0-85045443359 S0104-530X2018000100148.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gestao e Producao |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
148-159 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129440286244864 |