A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1155/2014/450367 http://hdl.handle.net/11449/111604 |
Resumo: | The development of discrete-event simulation software was one of the most successful interfaces in operational research with computation. As a result, research has been focused on the development of new methods and algorithms with the purpose of increasing simulation optimization efficiency and reliability. This study aims to define optimum variation intervals for each decision variable through a proposed approach which combines the data envelopment analysis with the Fuzzy logic (Fuzzy-DEA-BCC), seeking to improve the decision-making units' distinction in the face of uncertainty. In this study, Taguchi's orthogonal arrays were used to generate the necessary quantity of DMUs, and the output variables were generated by the simulation. Two study objects were utilized as examples of mono-andmultiobjective problems. Results confirmed the reliability and applicability of the proposed method, as it enabled a significant reduction in search space and computational demand when compared to conventional simulation optimization techniques. |
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Repositório Institucional da UNESP |
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A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCCThe development of discrete-event simulation software was one of the most successful interfaces in operational research with computation. As a result, research has been focused on the development of new methods and algorithms with the purpose of increasing simulation optimization efficiency and reliability. This study aims to define optimum variation intervals for each decision variable through a proposed approach which combines the data envelopment analysis with the Fuzzy logic (Fuzzy-DEA-BCC), seeking to improve the decision-making units' distinction in the face of uncertainty. In this study, Taguchi's orthogonal arrays were used to generate the necessary quantity of DMUs, and the output variables were generated by the simulation. Two study objects were utilized as examples of mono-andmultiobjective problems. Results confirmed the reliability and applicability of the proposed method, as it enabled a significant reduction in search space and computational demand when compared to conventional simulation optimization techniques.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)Doctoral Program in Production Engineering at Federal University of Itajuba (UNIFEI)Fed Univ Itajuba UNIFEI, BR-37500903 Itajuba, MG, BrazilSao Paulo State Univ UNESP, BR-12516410 Guaratingueta, SP, BrazilSao Paulo State Univ UNESP, BR-12516410 Guaratingueta, SP, BrazilHindawi Publishing CorporationUniversidade Federal de Itajubá (UNIFEI)Universidade Estadual Paulista (Unesp)Miranda, Rafael de CarvalhoBarra Montevechi, Jose ArnaldoSilva, Aneirson Francisco da [UNESP]Silva Marins, Fernando Augusto [UNESP]2014-12-03T13:08:49Z2014-12-03T13:08:49Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://dx.doi.org/10.1155/2014/450367Mathematical Problems In Engineering. New York: Hindawi Publishing Corporation, 15 p., 2014.1024-123Xhttp://hdl.handle.net/11449/11160410.1155/2014/450367WOS:000336663200001WOS000336663200001.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMathematical Problems in Engineering1.145info:eu-repo/semantics/openAccess2023-11-04T06:11:37Zoai:repositorio.unesp.br:11449/111604Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:54:54.694384Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
title |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
spellingShingle |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC Miranda, Rafael de Carvalho |
title_short |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
title_full |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
title_fullStr |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
title_full_unstemmed |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
title_sort |
A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC |
author |
Miranda, Rafael de Carvalho |
author_facet |
Miranda, Rafael de Carvalho Barra Montevechi, Jose Arnaldo Silva, Aneirson Francisco da [UNESP] Silva Marins, Fernando Augusto [UNESP] |
author_role |
author |
author2 |
Barra Montevechi, Jose Arnaldo Silva, Aneirson Francisco da [UNESP] Silva Marins, Fernando Augusto [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Itajubá (UNIFEI) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Miranda, Rafael de Carvalho Barra Montevechi, Jose Arnaldo Silva, Aneirson Francisco da [UNESP] Silva Marins, Fernando Augusto [UNESP] |
description |
The development of discrete-event simulation software was one of the most successful interfaces in operational research with computation. As a result, research has been focused on the development of new methods and algorithms with the purpose of increasing simulation optimization efficiency and reliability. This study aims to define optimum variation intervals for each decision variable through a proposed approach which combines the data envelopment analysis with the Fuzzy logic (Fuzzy-DEA-BCC), seeking to improve the decision-making units' distinction in the face of uncertainty. In this study, Taguchi's orthogonal arrays were used to generate the necessary quantity of DMUs, and the output variables were generated by the simulation. Two study objects were utilized as examples of mono-andmultiobjective problems. Results confirmed the reliability and applicability of the proposed method, as it enabled a significant reduction in search space and computational demand when compared to conventional simulation optimization techniques. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-03T13:08:49Z 2014-12-03T13:08:49Z 2014-01-01 |
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/10.1155/2014/450367 Mathematical Problems In Engineering. New York: Hindawi Publishing Corporation, 15 p., 2014. 1024-123X http://hdl.handle.net/11449/111604 10.1155/2014/450367 WOS:000336663200001 WOS000336663200001.pdf |
url |
http://dx.doi.org/10.1155/2014/450367 http://hdl.handle.net/11449/111604 |
identifier_str_mv |
Mathematical Problems In Engineering. New York: Hindawi Publishing Corporation, 15 p., 2014. 1024-123X 10.1155/2014/450367 WOS:000336663200001 WOS000336663200001.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Mathematical Problems in Engineering 1.145 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
15 application/pdf |
dc.publisher.none.fl_str_mv |
Hindawi Publishing Corporation |
publisher.none.fl_str_mv |
Hindawi Publishing Corporation |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128720280485888 |