dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorTeixeira, Rodolfo Florence
dc.creatorFaria Fernandes, Flavio Cesar
dc.creatorPereira, Neocles Alves
dc.date2014-05-20T13:27:10Z
dc.date2016-10-25T16:47:08Z
dc.date2014-05-20T13:27:10Z
dc.date2016-10-25T16:47:08Z
dc.date2010-10-01
dc.date.accessioned2017-04-05T20:07:35Z
dc.date.available2017-04-05T20:07:35Z
dc.identifierComputers & Industrial Engineering. Oxford: Pergamon-Elsevier B.V. Ltd, v. 59, n. 3, p. 425-435, 2010.
dc.identifier0360-8352
dc.identifierhttp://hdl.handle.net/11449/8862
dc.identifierhttp://acervodigital.unesp.br/handle/11449/8862
dc.identifier10.1016/j.cie.2010.05.015
dc.identifierWOS:000281133200007
dc.identifierhttp://dx.doi.org/10.1016/j.cie.2010.05.015
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/857130
dc.descriptionThis paper describes the development and solution of binary integer formulations for production scheduling problems in market-driven foundries. This industrial sector is comprised of small and mid-sized companies with little or no automation, working with diversified production, involving several different metal alloy specifications in small tailor-made product lots. The characteristics and constraints involved in a typical production environment at these industries challenge the formulation of mathematical programming models that can be computationally solved when considering real applications. However, despite the interest on the part of these industries in counting on effective methods for production scheduling, there are few studies available on the subject. The computational tests prove the robustness and feasibility of proposed models in situations analogous to those found in production scheduling at the analyzed industrial sector. (C) 2010 Elsevier Ltd. All rights reserved.
dc.languageeng
dc.publisherPergamon-Elsevier B.V. Ltd
dc.relationComputers & Industrial Engineering
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBinary integer programming
dc.subjectProduction scheduling
dc.subjectMarket-driven foundries
dc.titleBinary integer programming formulations for scheduling in market-driven foundries
dc.typeOtro


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