Meta-Heuristic Approaches for a Soft Drink Industry Problem

Detalhes bibliográficos
Autor(a) principal: Motta Toledo, Claudio Fabiano
Data de Publicação: 2008
Outros Autores: Ferreira de Jesus Filho, Jose Euripedes, Franca, Paulo Morelato [UNESP], Fay, I. A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/195920
Resumo: The present paper evaluates meta-heuristic approaches to solve a soft drink industry problem. This problem is motivated by a real situation found in soft drink companies, where the lot sizing and scheduling of raw materials in tanks and products in lines must be simultaneously determined. Tabu search, threshold accepting and genetic algorithms are used as procedures to solve the problem at hand. The methods are evaluated with a set of instance already available for this problem. This paper also proposes a new set of complex instances. The computational results comparing these approaches are reported.
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spelling Meta-Heuristic Approaches for a Soft Drink Industry ProblemThe present paper evaluates meta-heuristic approaches to solve a soft drink industry problem. This problem is motivated by a real situation found in soft drink companies, where the lot sizing and scheduling of raw materials in tanks and products in lines must be simultaneously determined. Tabu search, threshold accepting and genetic algorithms are used as procedures to solve the problem at hand. The methods are evaluated with a set of instance already available for this problem. This paper also proposes a new set of complex instances. The computational results comparing these approaches are reported.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)Univ Fed Lavras, Dept Ciencia Comp, CP 3037, BR-37200000 Lavras, MG, BrazilUniv Fed Lavras, Dept Ciencia Comp, BR-37200000 Lavras, MG, BrazilUniv Estadual Paulista, Dept Math Estatistica Comp, BR-19060900 Prudente, SP, BrazilUniv Estadual Paulista, Dept Math Estatistica Comp, BR-19060900 Prudente, SP, BrazilFAPEMIG: CEX APQ-2271-5.01/07IeeeUniversidade Federal de Lavras (UFLA)Universidade Estadual Paulista (Unesp)Motta Toledo, Claudio FabianoFerreira de Jesus Filho, Jose EuripedesFranca, Paulo Morelato [UNESP]Fay, I. A.2020-12-10T18:10:17Z2020-12-10T18:10:17Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1384-+2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedings. New York: Ieee, p. 1384-+, 2008.1946-0740http://hdl.handle.net/11449/195920WOS:000260495500221Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedingsinfo:eu-repo/semantics/openAccess2024-06-19T14:32:27Zoai:repositorio.unesp.br:11449/195920Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:03:56.063704Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Meta-Heuristic Approaches for a Soft Drink Industry Problem
title Meta-Heuristic Approaches for a Soft Drink Industry Problem
spellingShingle Meta-Heuristic Approaches for a Soft Drink Industry Problem
Motta Toledo, Claudio Fabiano
title_short Meta-Heuristic Approaches for a Soft Drink Industry Problem
title_full Meta-Heuristic Approaches for a Soft Drink Industry Problem
title_fullStr Meta-Heuristic Approaches for a Soft Drink Industry Problem
title_full_unstemmed Meta-Heuristic Approaches for a Soft Drink Industry Problem
title_sort Meta-Heuristic Approaches for a Soft Drink Industry Problem
author Motta Toledo, Claudio Fabiano
author_facet Motta Toledo, Claudio Fabiano
Ferreira de Jesus Filho, Jose Euripedes
Franca, Paulo Morelato [UNESP]
Fay, I. A.
author_role author
author2 Ferreira de Jesus Filho, Jose Euripedes
Franca, Paulo Morelato [UNESP]
Fay, I. A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Lavras (UFLA)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Motta Toledo, Claudio Fabiano
Ferreira de Jesus Filho, Jose Euripedes
Franca, Paulo Morelato [UNESP]
Fay, I. A.
description The present paper evaluates meta-heuristic approaches to solve a soft drink industry problem. This problem is motivated by a real situation found in soft drink companies, where the lot sizing and scheduling of raw materials in tanks and products in lines must be simultaneously determined. Tabu search, threshold accepting and genetic algorithms are used as procedures to solve the problem at hand. The methods are evaluated with a set of instance already available for this problem. This paper also proposes a new set of complex instances. The computational results comparing these approaches are reported.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
2020-12-10T18:10:17Z
2020-12-10T18:10:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedings. New York: Ieee, p. 1384-+, 2008.
1946-0740
http://hdl.handle.net/11449/195920
WOS:000260495500221
identifier_str_mv 2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedings. New York: Ieee, p. 1384-+, 2008.
1946-0740
WOS:000260495500221
url http://hdl.handle.net/11449/195920
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1384-+
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
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
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