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Detailed planning and inventory optimization model in the mattress industry

dc.creatorMontagna, Jorge Marcelo
dc.creatorCecchietti, Aldo
dc.creatorRodriguez, María Analía
dc.creatorCorsano, Gabriela
dc.date.accessioned2018-09-10T17:46:10Z
dc.date.available2018-09-10T17:46:10Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3101
dc.description.abstractIn this work, a mixed integer linear programming (MILP) model for the simultaneous production and inventory planning problems is proposed, which arise in the industrial context of polyurethane foam manufactory. The production process considers the foam blooming stage as well as the curing step where the blocks are dried. Several tradeoffs are involved in the overall model given that detailed inventory management decisions are also taken into account in the formulation. Several study cases provided by a local company are tested to show the model performance.es_ES
dc.description.sponsorshipVIII CAIQ 2015 AAIQ Buenos Aires y 3 JASPes_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectProduction planninges_ES
dc.subjectInventory managementes_ES
dc.subjectPolyurethane foames_ES
dc.subjectMILPes_ES
dc.titleDetailed planning and inventory optimization model in the mattress industryes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.description.affiliationFil: IDTQ-PLAPIQUI (CONICET-UNC), Av. Vélez Sarsfield 1611, Ciudad Universitaria, X5016GCA, Córdoba, Argentinaes_ES
dc.description.affiliationFil: INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentinaes_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.relation.projectid“Integración de sistemas soporte de decisión para la gestión optima de la cadena de suministros utilizando sistemas empresariales” Código:25/0152es_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.type.snrddocunento de conferenciaes_ES
dc.relation.referencesFumero, Y.; Corsano, G.; Montagna, J. M. (2011). Planning and Scheduling of Multistage Multiproduct Batch Plants Operating under Production Campaigns. Ann. Oper. Res., 199, 249–268.es_ES
dc.relation.referencesFumero, Y.; Corsano, G.; Montagna, J. M. (2013). Integrated Modeling Framework for Supply Chain Design Considering Multiproduct Production Facilities. Ind. Eng. Chem. Res., 52, 16247–16266.es_ES
dc.relation.referencesGrossmann, I. E. (2012). Advances in Mathematical Programming Models for Enterprise-Wide Optimization. Comput. Chem. Eng., 47, 2–18.es_ES
dc.relation.referencesLin, B. M. T.; Lin, Y.-Y.; Fang, K.-T. (2013). Two-Machine Flow Shop Scheduling of Polyurethane Foam Production. Int. J. Prod. Econ., 141, 286–294.es_ES
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dc.relation.referencesMogaji, P. B. A (2014). Decision Support System for Process Planning and Control of Polyurethane Foam Production http://www.scitechnol.com/a-decision-support-system-for-process-planning-and-control-of-polyurethane-foam-production-fd2A.pdf (accessed Aug 20, 2014).es_ES
dc.relation.referencesRelvas, S.; Boschetto Magatão, S. N.; Barbosa-Póvoa, A. P. F. D.; Neves, F. (2013). Integrated Scheduling and Inventory Management of an Oil Products Distribution System. Omega, 41, 955–968.es_ES
dc.relation.referencesRodriguez, M. A.; Vecchietti, A. (2010). Inventory and Delivery Optimization under Seasonal Demand in the Supply Chain. Comput. Chem. Eng., 34, 1705–1718es_ES
dc.relation.referencesRosenthal, R.E. (2013). GAMS- A User's Guide. GAMS Development Corporation, Washington, DC, USA.es_ES
dc.rights.useautorizo la publicación de la obra desde su aprobación/presentaciónes_ES
dc.rights.useCC0 1.0 Universal*


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