Integrated approach for the bucking and production planning problems in forest industry

Autores
Vanzetti, Nicolás Andrés; Broz, Diego Ricardo; Montagna, Jorge Marcelo; Corsano, Gabriela
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
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: 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.
Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina.
The appropriate integration among production activities is a key factor for the development of the forest industry in the northeast of Argentina. Sawmills are one of the main logs consumers. However, production planning of sawmills has been managed independently of the forest production. In this work, a mixed integer linear programming formulation is proposed in order to achieve an adequate logs supply that allows carrying out an efficient lumber production plan. Bucking decisions, as the number of stems to be harvested and the employed bucking patterns, are jointly solved with sawmill planning decisions, like the number and type of processed logs and the used cutting patterns, in order to fulfill the boards demands maximizing the net profit along the time horizon composed by several time periods (days). Through examples, the capabilities of the proposed approach are highlighted and the computational results are analyzed.
Materia
Bucking
Log procurement policy
Mixed integer linear programming model
Sawmill production planning
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:20.500.12219/3985
Acceder
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network_name_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
spelling Integrated approach for the bucking and production planning problems in forest industryVanzetti, Nicolás AndrésBroz, Diego RicardoMontagna, Jorge MarceloCorsano, GabrielaBuckingLog procurement policyMixed integer linear programming modelSawmill production planningFil: 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: 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina.The appropriate integration among production activities is a key factor for the development of the forest industry in the northeast of Argentina. Sawmills are one of the main logs consumers. However, production planning of sawmills has been managed independently of the forest production. In this work, a mixed integer linear programming formulation is proposed in order to achieve an adequate logs supply that allows carrying out an efficient lumber production plan. Bucking decisions, as the number of stems to be harvested and the employed bucking patterns, are jointly solved with sawmill planning decisions, like the number and type of processed logs and the used cutting patterns, in order to fulfill the boards demands maximizing the net profit along the time horizon composed by several time periods (days). Through examples, the capabilities of the proposed approach are highlighted and the computational results are analyzed.Elsevier2019-06-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf706.7 KBhttps://hdl.handle.net/20.500.12219/3985enginfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.compchemeng.2019.03.008info:eu-repo/semantics/altIdentifier/urn/https://www.sciencedirect.com/science/article/abs/pii/S0098135418313589info: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 Misiones2025-09-29T15:01:53Zoai:rid.unam.edu.ar:20.500.12219/3985instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-09-29 15:01:54.091Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv Integrated approach for the bucking and production planning problems in forest industry
title Integrated approach for the bucking and production planning problems in forest industry
spellingShingle Integrated approach for the bucking and production planning problems in forest industry
Vanzetti, Nicolás Andrés
Bucking
Log procurement policy
Mixed integer linear programming model
Sawmill production planning
title_short Integrated approach for the bucking and production planning problems in forest industry
title_full Integrated approach for the bucking and production planning problems in forest industry
title_fullStr Integrated approach for the bucking and production planning problems in forest industry
title_full_unstemmed Integrated approach for the bucking and production planning problems in forest industry
title_sort Integrated approach for the bucking and production planning problems in forest industry
dc.creator.none.fl_str_mv Vanzetti, Nicolás Andrés
Broz, Diego Ricardo
Montagna, Jorge Marcelo
Corsano, Gabriela
author Vanzetti, Nicolás Andrés
author_facet Vanzetti, Nicolás Andrés
Broz, Diego Ricardo
Montagna, Jorge Marcelo
Corsano, Gabriela
author_role author
author2 Broz, Diego Ricardo
Montagna, Jorge Marcelo
Corsano, Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Bucking
Log procurement policy
Mixed integer linear programming model
Sawmill production planning
topic Bucking
Log procurement policy
Mixed integer linear programming model
Sawmill production planning
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: 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; 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 Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina.
Fil: Corsano, Gabriela. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina.
The appropriate integration among production activities is a key factor for the development of the forest industry in the northeast of Argentina. Sawmills are one of the main logs consumers. However, production planning of sawmills has been managed independently of the forest production. In this work, a mixed integer linear programming formulation is proposed in order to achieve an adequate logs supply that allows carrying out an efficient lumber production plan. Bucking decisions, as the number of stems to be harvested and the employed bucking patterns, are jointly solved with sawmill planning decisions, like the number and type of processed logs and the used cutting patterns, in order to fulfill the boards demands maximizing the net profit along the time horizon composed by several time periods (days). Through examples, the capabilities of the proposed approach are highlighted and the computational results are analyzed.
description Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12219/3985
url https://hdl.handle.net/20.500.12219/3985
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.compchemeng.2019.03.008
info:eu-repo/semantics/altIdentifier/urn/https://www.sciencedirect.com/science/article/abs/pii/S0098135418313589
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
706.7 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)
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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
repository.mail.fl_str_mv
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