Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study

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Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniv Duisburg Essen-
Autor(es): dc.contributorUniversidade Federal de Lavras (UFLA)-
Autor(es): dc.creatorFerreira, D.-
Autor(es): dc.creatorFranca, P. M.-
Autor(es): dc.creatorKimms, A.-
Autor(es): dc.creatorMorabito, R.-
Autor(es): dc.creatorRangel, S.-
Autor(es): dc.creatorToledo, C. F. M.-
Autor(es): dc.creatorXhafa, F-
Autor(es): dc.creatorAbraham, A-
Data de aceite: dc.date.accessioned2025-08-21T16:07:14Z-
Data de disponibilização: dc.date.available2025-08-21T16:07:14Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2008-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/245322-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/245322-
Descrição: dc.descriptionThis chapter studies a two-level production planning problem where, on each level, a lot sizing and scheduling problem with parallel machines, capacity constraints and sequence-dependent setup costs and times must be solved. The problem can be found in soft drink companies where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. Models and solution approaches proposed so far are surveyed and conceptually compared. Two different approaches have been selected to perform a series of computational comparisons: an evolutionary technique comprising a genetic algorithm and its memetic version, and a decomposition and relaxation approach.-
Descrição: dc.descriptionUniv Fed Sao Carlos, Dept Engn Producao, BR-13565905 Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Matemat Estatist & Computacao, BR-19060400 Presidente Prudente, SP, Brazil-
Descrição: dc.descriptionUniv Duisburg Essen, Dept Technol & Operat Management, D-47048 Duisburg, Germany-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Ciencia Computacao & Estatist, BR-15054000 Sj Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionUniv Fed Lavras, Dept Ciencia Computacao, BR-37200000 Lavras, MG, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Matemat Estatist & Computacao, BR-19060400 Presidente Prudente, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Ciencia Computacao & Estatist, BR-15054000 Sj Do Rio Preto, SP, Brazil-
Formato: dc.format169-210-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationMetaheuristics For Scheduling In Industrial And Manufacturing Applications-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectTwo-level Production Planning-
Palavras-chave: dc.subjectLot Sizing-
Palavras-chave: dc.subjectScheduling-
Palavras-chave: dc.subjectSoft Drinks Industry-
Palavras-chave: dc.subjectGenetic Algorithm-
Palavras-chave: dc.subjectMemetic Algorithm-
Título: dc.titleHeuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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