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Forestry production and logistics planning: An analysis using mixed-integer programming

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

This article presents a mathematical model for the problem of production and logistics in the forest industry. Specifically, a dynamic model of mixed-integer programming was formulated to solve three common problems in the forest sector: forest production, forest facilities location and forest freight distribution. The implemented mathematical model allows the strategic selection of the optimal location and size of a forest facility, in addition to the identification of the production levels and freight flows that will be generated in the considered planning horizon. A practical application of the model was carried out, validating its utility in the location of a sawmill. The model was optimally solved using LINGO, which also allowed to evaluate its response capacity in relation to changes in information considered in the initial planning, as well as the comparison of the decisions and the solution times for different scenarios such as demand, transportation costs, timber prices and yields of the sawn process.

Original languageEnglish
Pages (from-to)625-633
Number of pages9
JournalForest Policy and Economics
Volume7
Issue number4
DOIs
StatePublished - May 2005
Externally publishedYes

Keywords

  • Forest planning
  • Mixed-integer programming
  • Plant location problem
  • Production and logistics

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