Detailed planning and inventory optimization model in the mattress industry

Autores
Montagna, Jorge Marcelo; Cecchietti, Aldo; Rodríguez, María Analía; Corsano, Gabriela
Año de publicación
2015
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión aceptada
Descripción
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
Materia
Production planning
Inventory management
Polyurethane foam
MILP
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2018-09-10T17:46:10Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/3101
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Detailed planning and inventory optimization model in the mattress industryMontagna, Jorge MarceloCecchietti, AldoRodríguez, María AnalíaCorsano, GabrielaProduction planningInventory managementPolyurethane foamMILPIn 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 JASPFil: IDTQ-PLAPIQUI (CONICET-UNC), Av. Vélez Sarsfield 1611, Ciudad Universitaria, X5016GCA, Córdoba, ArgentinaFil: INGAR (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, ArgentinaPeer Reviewed2018-09-10T17:46:10Z2018-09-10T17:46:10Z2015info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersiondocunento de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12272/3101eng“Integración de sistemas soporte de decisión para la gestión optima de la cadena de suministros utilizando sistemas empresariales” Código:25/0152Fumero, 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, 1705–1718Rosenthal, R.E. (2013). GAMS- A User's Guide. GAMS Development Corporation, Washington, DC, USA.info:eu-repo/semantics/openAccess2018-09-10T17:46:10Zhttp://creativecommons.org/publicdomain/zero/1.0/autorizo la publicación de la obra desde su aprobación/presentaciónCC0 1.0 Universalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:45:57Zoai:ria.utn.edu.ar:20.500.12272/3101instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:45:57.728Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Detailed planning and inventory optimization model in the mattress industry
title Detailed planning and inventory optimization model in the mattress industry
spellingShingle Detailed planning and inventory optimization model in the mattress industry
Montagna, Jorge Marcelo
Production planning
Inventory management
Polyurethane foam
MILP
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
dc.creator.none.fl_str_mv Montagna, Jorge Marcelo
Cecchietti, Aldo
Rodríguez, María Analía
Corsano, Gabriela
author Montagna, Jorge Marcelo
author_facet Montagna, Jorge Marcelo
Cecchietti, Aldo
Rodríguez, María Analía
Corsano, Gabriela
author_role author
author2 Cecchietti, Aldo
Rodríguez, María Analía
Corsano, Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Production planning
Inventory management
Polyurethane foam
MILP
topic Production planning
Inventory management
Polyurethane foam
MILP
dc.description.none.fl_txt_mv 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
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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2018-09-10T17:46:10Z
2018-09-10T17:46:10Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/acceptedVersion
docunento de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12272/3101
url http://hdl.handle.net/20.500.12272/3101
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “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.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2018-09-10T17:46:10Z
http://creativecommons.org/publicdomain/zero/1.0/
autorizo la publicación de la obra desde su aprobación/presentación
CC0 1.0 Universal
eu_rights_str_mv openAccess
rights_invalid_str_mv 2018-09-10T17:46:10Z
http://creativecommons.org/publicdomain/zero/1.0/
autorizo la publicación de la obra desde su aprobación/presentación
CC0 1.0 Universal
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
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reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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