| 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 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202103040083782ZK.pdf | 132KB |
PDF