A Problem of Forest Harvesting and Road Building Solved Through Model Strengthening and Lagrangean Relaxation

@article{Andalaft2003APO,
  title={A Problem of Forest Harvesting and Road Building Solved Through Model Strengthening and Lagrangean Relaxation},
  author={Nicolas Andalaft and Pablo Andalaft and Monique Guignard-Spielberg and Adrian Magendzo and Alexis Wainer and Andr{\'e}s Weintraub},
  journal={Operations Research},
  year={2003},
  volume={51},
  pages={613-628}
}
We consider a problem of forest planning on pine plantations over a two to five year horizon. Basic decisions concern the areas to harvest in each period, the amount of timber to produce to satisfy aggregate demands for log exports, sawmills and pulp plants, and the roads to build for access and storage of timber. A linear programming model with 0--1 variables describes the decision process. Solution strategies involve strengthening of the model, lifting some of the constraints, and applying… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • Results on real planning problems show that even as these problems become more complex, the proposed solution strategies lead to very good solutions, reducing the residual gap for the most difficult data set from 162% to 1.6%, and for all data sets to 2.6% or less.

Citations

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References

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