Detailed planning and inventory optimization model in the mattress industry

In 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...

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Autores principales: Montagna, Jorge Marcelo, Cecchietti, Aldo, Rodriguez, María Analía, Corsano, Gabriela
Formato: Documento de conferencia acceptedVersion docunento de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Production planning
Inventory management
Polyurethane foam
MILP
Acceso en línea:http://hdl.handle.net/20.500.12272/3101
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-3101
record_format dspace
spelling I68-R174-20.500.12272-31012023-06-28T22:49:07Z Detailed planning and inventory optimization model in the mattress industry Montagna, Jorge Marcelo Cecchietti, Aldo Rodriguez, María Analía Corsano, Gabriela Production planning Inventory management Polyurethane foam MILP In 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. VIII CAIQ 2015 AAIQ Buenos Aires y 3 JASP Fil: IDTQ-PLAPIQUI (CONICET-UNC), Av. Vélez Sarsfield 1611, Ciudad Universitaria, X5016GCA, Córdoba, Argentina Fil: INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina Peer Reviewed 2018-09-10T17:46:10Z 2018-09-10T17:46:10Z 2015 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion docunento de conferencia http://hdl.handle.net/20.500.12272/3101 eng “Integración de sistemas soporte de decisión para la gestión optima de la cadena de suministros utilizando sistemas empresariales” Código:25/0152 Fumero, 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. Fumero, 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. Grossmann, I. E. (2012). Advances in Mathematical Programming Models for Enterprise-Wide Optimization. Comput. Chem. Eng., 47, 2–18. Lin, 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. Maravelias, C. T.; Sung, C. (2009). Integration of Production Planning and Scheduling: Overview, Challenges and Opportunities. Comput. Chem. Eng., 33, 1919–1930. Marchetti, P. A.; Gupta, V.; Grossmann, I. E.; Cook, L.; Valton, P.-M.; Singh, T.; Li, T.; André, J. (2014). Simultaneous Production and Distribution of Industrial Gas Supply-Chains. Comput. Chem. Eng., 69, 39–58. Mogaji, 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). Relvas, 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. Rodriguez, M. A.; Vecchietti, A. (2010). Inventory and Delivery Optimization under Seasonal Demand in the Supply Chain. Comput. Chem. Eng., 34, 1705–1718 Rosenthal, R.E. (2013). GAMS- A User's Guide. GAMS Development Corporation, Washington, DC, USA. info:eu-repo/semantics/openAccess http://creativecommons.org/publicdomain/zero/1.0/ autorizo la publicación de la obra desde su aprobación/presentación CC0 1.0 Universal application/pdf
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
topic Production planning
Inventory management
Polyurethane foam
MILP
spellingShingle Production planning
Inventory management
Polyurethane foam
MILP
Montagna, Jorge Marcelo
Cecchietti, Aldo
Rodriguez, María Analía
Corsano, Gabriela
Detailed planning and inventory optimization model in the mattress industry
topic_facet Production planning
Inventory management
Polyurethane foam
MILP
description In 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.
format Documento de conferencia
acceptedVersion
docunento de conferencia
author Montagna, Jorge Marcelo
Cecchietti, Aldo
Rodriguez, María Analía
Corsano, Gabriela
author_facet Montagna, Jorge Marcelo
Cecchietti, Aldo
Rodriguez, María Analía
Corsano, Gabriela
author_sort Montagna, Jorge Marcelo
title Detailed planning and inventory optimization model in the mattress industry
title_short Detailed planning and inventory optimization model in the mattress industry
title_full Detailed planning and inventory optimization model in the mattress industry
title_fullStr Detailed planning and inventory optimization model in the mattress industry
title_full_unstemmed Detailed planning and inventory optimization model in the mattress industry
title_sort detailed planning and inventory optimization model in the mattress industry
publishDate 2018
url http://hdl.handle.net/20.500.12272/3101
work_keys_str_mv AT montagnajorgemarcelo detailedplanningandinventoryoptimizationmodelinthemattressindustry
AT cecchiettialdo detailedplanningandinventoryoptimizationmodelinthemattressindustry
AT rodriguezmariaanalia detailedplanningandinventoryoptimizationmodelinthemattressindustry
AT corsanogabriela detailedplanningandinventoryoptimizationmodelinthemattressindustry
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