Mathematical model and solution approaches for integrated lot-sizing, scheduling and cutting stock problems

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorMelega, Gislaine Mara-
Autor(es): dc.creatorAraujo, Silvio Alexandre de [UNESP]-
Autor(es): dc.creatorMorabito, Reinaldo-
Data de aceite: dc.date.accessioned2022-02-22T00:11:46Z-
Data de disponibilização: dc.date.available2022-02-22T00:11:46Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-09-04-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s10479-020-03764-9-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/197280-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/197280-
Descrição: dc.descriptionIn this paper, we address a two-stage integrated lot-sizing, scheduling and cutting stock problem with sequence-dependent setup times and setup costs. In production stage one, a cutting machine is used to cut large objects into smaller pieces, in which cutting patterns are generated and used to cut the pieces, and should be sequenced in order to obtain a complete cutting plan for the problem. The cut pieces, from production stage one, are used to assemble final products in production stage two, where the final products are scheduled in order to meet the client's demands. To solve the two-stage integrated problem, we present solution methods based on a price-and-branch approach, in which a column generation procedure is proposed to generate columns and the integer problem is solved by decomposition solution approaches. A computational study is conducted using randomly generated data and an analysis showing the impact of the solution approaches in the two-stage integrated problem is presented. In addition, the performance and benefits of the integrated approach are compared to an empirical simulation of the common practice (sequential approach).-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniv Fed Sao Carlos, Dept Engn Prod, Rodovia Washington Luis Km 235, BR-13565905 Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Matemat, Inst Biociencias Letras & Ciencias Exatas, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Dept Matemat, Inst Biociencias Letras & Ciencias Exatas, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil-
Descrição: dc.descriptionFAPESP: 2013/07375-0-
Descrição: dc.descriptionFAPESP: 2016/01860-1-
Descrição: dc.descriptionFAPESP: 2018/19893-9-
Formato: dc.format42-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationAnnals Of Operations Research-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectCutting stock and scheduling problems-
Palavras-chave: dc.subjectLot-sizing and scheduling problems-
Palavras-chave: dc.subjectSequence-dependent setups-
Palavras-chave: dc.subjectPrice-and-branch approaches-
Título: dc.titleMathematical model and solution approaches for integrated lot-sizing, scheduling and cutting stock problems-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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