A Strategic-Operational Contribution to the One-Dimensional Multi-period Cutting Stock Problem for Sawmills

Oscar Saldías, Carla Guerrero, Rodrigo Olivares, Daniel Morillo-Torres, Gustavo Gatica

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a model aimed at solving a Multi-period Cutting Stock Problem (MPCSP) for a sawmill at a strategic-operational level. The study seeks to minimize raw material and storage costs to manufacture square wood planks for packing batches of wood boards and panels. For these purposes, the study used real data from an actual Chilean sawmill. The resolution of the Gurobi model allows a 20.4 % cost reduction when comparing the empirical method with the model implemented in the sawmill.

Original languageEnglish
Title of host publicationAdvanced Research in Technologies, Information, Innovation and Sustainability - Second International Conference, ARTIIS 2022, Revised Selected Papers
EditorsTeresa Guarda, Filipe Portela, Maria Fernanda Augusto
PublisherSpringer Science and Business Media Deutschland GmbH
Pages30-41
Number of pages12
ISBN (Print)9783031203152
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 - Santiago de Compostela, Spain
Duration: 12 Sept 202215 Sept 2022

Publication series

NameCommunications in Computer and Information Science
Volume1676 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022
Country/TerritorySpain
CitySantiago de Compostela
Period12/09/2215/09/22

Keywords

  • Industrial application
  • Multi-period
  • One-dimensional cutting stock problem
  • Sawmill

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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