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Meta-heuristic approaches for a soft drink industry problem

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dc.contributor.authorToledo, Claudio Fabiano Motta
dc.contributor.authorDe Jesus Filho, José Eurípedes Ferreira
dc.contributor.authorFrança, Paulo Morelato [UNESP]
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:23:42Z
dc.date.available2014-05-27T11:23:42Z
dc.date.issued2008-11-24
dc.description.abstractThe 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. © 2008 IEEE.en
dc.description.affiliationUniversidade Federal de Lavras Departamento de Ciência da Computação, C.P. 3037, CEP 37200-000 Lavras, MG
dc.description.affiliationUniversidade Estadual Paulista Departamento de Matemática, Estatística e Computação, R. Roberto Simonsen, 305, CEP 19060-900, P. Prudente, SP
dc.description.affiliationUnespUniversidade Estadual Paulista Departamento de Matemática, Estatística e Computação, R. Roberto Simonsen, 305, CEP 19060-900, P. Prudente, SP
dc.format.extent1384-1391
dc.identifierhttp://dx.doi.org/10.1109/ETFA.2008.4638579
dc.identifier.citationIEEE Symposium on Emerging Technologies and Factory Automation, ETFA, p. 1384-1391.
dc.identifier.doi10.1109/ETFA.2008.4638579
dc.identifier.scopus2-s2.0-56349167064
dc.identifier.urihttp://hdl.handle.net/11449/70638
dc.language.isoeng
dc.relation.ispartofIEEE Symposium on Emerging Technologies and Factory Automation, ETFA
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBeverages
dc.subjectDiesel engines
dc.subjectFactory automation
dc.subjectGenetic algorithms
dc.subjectHeuristic methods
dc.subjectSemiconductor quantum dots
dc.subjectSystems analysis
dc.subjectTabu search
dc.subjectAnd genetic algorithms
dc.subjectComputational results
dc.subjectHeuristic approaches
dc.subjectIn lines
dc.subjectLot sizings
dc.subjectReal situations
dc.subjectSoft drinks
dc.subjectThreshold accepting
dc.subjectProblem solving
dc.titleMeta-heuristic approaches for a soft drink industry problemen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.departmentMatemática e Computação - FCTpt

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Presidente Prudente - FCT - Faculdade de Ciências e Tecnologia