An optimization approach for multiperiod production planning in a sawmill

Autores
Vanzetti, Nicolás Andrés; Broz, Diego Ricardo; Corsano, Gabriela; Montagna, Jorge Marcelo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Vanzetti, Nicolás Andrés. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.
Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina.
Fil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Montagna, Jorge Marcelo. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.
Forest industry plays an important role in the national economic and social context, due to the production volume with significant impact in the region where it is located (northeast of Argentina). Sawmill production planning is a key factor for the development of this industry with serious challenges taking into account the involved interrelated tasks. Assuming a multiperiod perspective, several elements can be considered and more interesting results can be attained. The appropriate procurement of logs is an important part of the problem costs and logging can be improved if the sawmill consumption can be foreseen in advance through an integrated approach. In this work, a mixed integer linear programming (MILP) model for the optimal multiperiod planning in sawmills is proposed. An efficient solution is obtained considering a set of cutting patters (CP) for each type of log that optimize raw material yield. As a result of this optimization, appropriate procurement, distribution policy and stock management of logs can be achieved, as well as suitable production plan along the considered periods in order to fulfil the demand, with significant impact on the sawmill performance and profitability.
Materia
Multiperiod planning
Sawmill
Cutting pattern
Mixed integer linear programming
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Repositorio
Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
Institución
Universidad Nacional de Misiones
OAI Identificador
oai:rid.unam.edu.ar:20.500.12219/3984
Acceder
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spelling An optimization approach for multiperiod production planning in a sawmillVanzetti, Nicolás AndrésBroz, Diego RicardoCorsano, GabrielaMontagna, Jorge MarceloMultiperiod planningSawmillCutting patternMixed integer linear programmingFil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.Fil: Vanzetti, Nicolás Andrés. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina.Fil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.Fil: Montagna, Jorge Marcelo. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.Forest industry plays an important role in the national economic and social context, due to the production volume with significant impact in the region where it is located (northeast of Argentina). Sawmill production planning is a key factor for the development of this industry with serious challenges taking into account the involved interrelated tasks. Assuming a multiperiod perspective, several elements can be considered and more interesting results can be attained. The appropriate procurement of logs is an important part of the problem costs and logging can be improved if the sawmill consumption can be foreseen in advance through an integrated approach. In this work, a mixed integer linear programming (MILP) model for the optimal multiperiod planning in sawmills is proposed. An efficient solution is obtained considering a set of cutting patters (CP) for each type of log that optimize raw material yield. As a result of this optimization, appropriate procurement, distribution policy and stock management of logs can be achieved, as well as suitable production plan along the considered periods in order to fulfil the demand, with significant impact on the sawmill performance and profitability.Elsevier2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf280.2 KBhttps://hdl.handle.net/20.500.12219/3984enginfo:eu-repo/semantics/altIdentifier/urn/https://linkinghub.elsevier.com/retrieve/pii/S1389934118301230info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.forpol.2018.09.001info:eu-repo/semantics/altIdentifier/urn/https://www.sciencedirect.com/science/article/abs/pii/S1389934118301230info:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)instname:Universidad Nacional de Misiones2025-09-04T11:42:51Zoai:rid.unam.edu.ar:20.500.12219/3984instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-09-04 11:42:52.639Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv An optimization approach for multiperiod production planning in a sawmill
title An optimization approach for multiperiod production planning in a sawmill
spellingShingle An optimization approach for multiperiod production planning in a sawmill
Vanzetti, Nicolás Andrés
Multiperiod planning
Sawmill
Cutting pattern
Mixed integer linear programming
title_short An optimization approach for multiperiod production planning in a sawmill
title_full An optimization approach for multiperiod production planning in a sawmill
title_fullStr An optimization approach for multiperiod production planning in a sawmill
title_full_unstemmed An optimization approach for multiperiod production planning in a sawmill
title_sort An optimization approach for multiperiod production planning in a sawmill
dc.creator.none.fl_str_mv Vanzetti, Nicolás Andrés
Broz, Diego Ricardo
Corsano, Gabriela
Montagna, Jorge Marcelo
author Vanzetti, Nicolás Andrés
author_facet Vanzetti, Nicolás Andrés
Broz, Diego Ricardo
Corsano, Gabriela
Montagna, Jorge Marcelo
author_role author
author2 Broz, Diego Ricardo
Corsano, Gabriela
Montagna, Jorge Marcelo
author2_role author
author
author
dc.subject.none.fl_str_mv Multiperiod planning
Sawmill
Cutting pattern
Mixed integer linear programming
topic Multiperiod planning
Sawmill
Cutting pattern
Mixed integer linear programming
dc.description.none.fl_txt_mv Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Vanzetti, Nicolás Andrés. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.
Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina.
Fil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
Fil: Montagna, Jorge Marcelo. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Desarrollo y Diseño; Argentina.
Forest industry plays an important role in the national economic and social context, due to the production volume with significant impact in the region where it is located (northeast of Argentina). Sawmill production planning is a key factor for the development of this industry with serious challenges taking into account the involved interrelated tasks. Assuming a multiperiod perspective, several elements can be considered and more interesting results can be attained. The appropriate procurement of logs is an important part of the problem costs and logging can be improved if the sawmill consumption can be foreseen in advance through an integrated approach. In this work, a mixed integer linear programming (MILP) model for the optimal multiperiod planning in sawmills is proposed. An efficient solution is obtained considering a set of cutting patters (CP) for each type of log that optimize raw material yield. As a result of this optimization, appropriate procurement, distribution policy and stock management of logs can be achieved, as well as suitable production plan along the considered periods in order to fulfil the demand, with significant impact on the sawmill performance and profitability.
description Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12219/3984
url https://hdl.handle.net/20.500.12219/3984
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/urn/https://linkinghub.elsevier.com/retrieve/pii/S1389934118301230
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.forpol.2018.09.001
info:eu-repo/semantics/altIdentifier/urn/https://www.sciencedirect.com/science/article/abs/pii/S1389934118301230
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
application/pdf
280.2 KB
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname:Universidad Nacional de Misiones
reponame_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
collection Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname_str Universidad Nacional de Misiones
repository.name.fl_str_mv Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misiones
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