An optimization approach for multiperiod production planning in a sawmill

Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.

Bibliographic Details
Main Authors:	Vanzetti, Nicolás Andrés, Broz, Diego Ricardo, Corsano, Gabriela, Montagna, Jorge Marcelo
Format:	info:eu-repo/semantics/article
Language:	English
Published:	Elsevier 2018
Subjects:	Multiperiod planning Sawmill Cutting pattern Mixed integer linear programming
Online Access:	https://hdl.handle.net/20.500.12219/3984

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author	Vanzetti, Nicolás Andrés Broz, Diego Ricardo Corsano, Gabriela Montagna, Jorge Marcelo
author_facet	Vanzetti, Nicolás Andrés Broz, Diego Ricardo Corsano, Gabriela Montagna, Jorge Marcelo
author_sort	Vanzetti, Nicolás Andrés
collection	Repositorio RIDUNaM
description	Fil: Vanzetti, Nicolás Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Santa Fe). Instituto de Desarrollo y Diseño; Argentina.
format	info:eu-repo/semantics/article
id	ir-20.500.12219-3984
institution	Universidad Nacional de Misiones
language	English
publishDate	2018
publisher	Elsevier
record_format	dspace
spelling	ir-20.500.12219-39842024-05-13T18:50:24Z An optimization approach for multiperiod production planning in a sawmill Vanzetti, Nicolás Andrés Broz, Diego Ricardo Corsano, Gabriela Montagna, Jorge Marcelo Multiperiod planning Sawmill Cutting pattern Mixed integer linear programming 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. 2018-12-01 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://hdl.handle.net/20.500.12219/3984 eng 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 info:eu-repo/semantics/openAccess application/pdf application/pdf 280.2 KB Elsevier
spellingShingle	Multiperiod planning Sawmill Cutting pattern Mixed integer linear programming Vanzetti, Nicolás Andrés Broz, Diego Ricardo Corsano, Gabriela Montagna, Jorge Marcelo An optimization approach for multiperiod production planning in a sawmill
title	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_short	An optimization approach for multiperiod production planning in a sawmill
title_sort	optimization approach for multiperiod production planning in a sawmill
topic	Multiperiod planning Sawmill Cutting pattern Mixed integer linear programming
url	https://hdl.handle.net/20.500.12219/3984
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An optimization approach for multiperiod production planning in a sawmill

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