dc.contributorFac IBMEC SP
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.date.accessioned2014-05-20T15:31:56Z
dc.date.accessioned2022-10-05T17:07:23Z
dc.date.available2014-05-20T15:31:56Z
dc.date.available2022-10-05T17:07:23Z
dc.date.created2014-05-20T15:31:56Z
dc.date.issued2009-06-01
dc.identifierInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 119, n. 2, p. 219-227, 2009.
dc.identifier0925-5273
dc.identifierhttp://hdl.handle.net/11449/40948
dc.identifier10.1016/j.ijpe.2009.02.011
dc.identifierWOS:000267643400001
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3911891
dc.description.abstractIndustrial production processes involving both lot-sizing and cutting stock problems are common in many industrial settings. However, they are usually treated in a separate way, which could lead to costly production plans. In this paper, a coupled mathematical model is formulated and a heuristic method based on Lagrangian relaxation is proposed. Computational results prove its effectiveness. (C) 2009 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationInternational Journal of Production Economics
dc.relation4.407
dc.relation2,401
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectLot-sizing
dc.subjectCutting stock
dc.subjectProduction planning
dc.subjectMixed-integer programming
dc.subjectLagrangian relaxation
dc.titleA Lagrangian relaxation approach to a coupled lot-sizing and cutting stock problem
dc.typeArtigo


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