期刊论文详细信息
Pesquisa Operacional
A lagrangian relaxation approach for a machinery location problem in forest harvesting
Jorge R. Vera2  Andrés Weintraub1  Manfred Koenig1  Gaston Bravo1  Monique Guignard1  Francisco Barahona1 
[1] ,Catholic University of Chile Dept. of Industrial and System Engineering Santiago,Chile
关键词: large scale optimization;    location;    integer programming;    natural resources;   
DOI  :  10.1590/S0101-74382003000100009
来源: SciELO
PDF
【 摘 要 】

The correct location of harvesting machinery is an important problem for the timber industry, as these are expensive pieces of equipment. Also, access roads need to be constructed within a season of harvesting. In this paper, we present the modelling of this problem as a mixed integer linear model which, without any special technique, is very difficult to solve. Strengthening of the original linear programming formulation, and a Lagrangian Relaxation algorithm are developed to improve the solution process. We show test results in a real industry problem.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

【 预 览 】
附件列表
Files Size Format View
RO202103040083782ZK.pdf 132KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:6次