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Harvest Operational Models in Forestry

In: Handbook Of Operations Research In Natural Resources

Author

Listed:
  • Rafael Epstein

    (University of Chile)

  • Jenny Karlsson

    (Linköping University)

  • Mikael Rönnqvist

    (The Norwegian School of Economics and Business Administration)

  • Andres Weintraub

    (University of Chile)

Abstract

Harvest operations have provided many important operations research (OR) applications. The harvesting process incorporates decisions on areas to harvest, how to buck (or cross cut) trees to obtain demanded products by length and diameter, how to locate harvesting machinery, how to build and maintain roads to haul away logs, and how to distribute and stock logs. We discuss how OR has impacted successfully on these decision processes.

Suggested Citation

  • Rafael Epstein & Jenny Karlsson & Mikael Rönnqvist & Andres Weintraub, 2007. "Harvest Operational Models in Forestry," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 365-377, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71815-6_18
    DOI: 10.1007/978-0-387-71815-6_18
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    Citations

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    Cited by:

    1. Baburam Rijal & Luc LeBel & Shuva H. Gautam & Pierre Cantegril, 2020. "A Sequential Optimization Approach in Tactical Planning for Value Creation in the Forest Products Industry," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    2. Bisera Andrić Gušavac & Selman Karagoz & Milena Popović & Dragan Pamućar & Muhammet Deveci, 2023. "Reconcilement of conflicting goals: a novel operations research-based methodology for environmental management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7423-7460, August.
    3. Karl Duvemo & Tomas Lämås & Ljusk Eriksson & Peder Wikström, 2014. "Introducing cost-plus-loss analysis into a hierarchical forestry planning environment," Annals of Operations Research, Springer, vol. 219(1), pages 415-431, August.
    4. Morin, Michael & Gaudreault, Jonathan & Brotherton, Edith & Paradis, Frédérik & Rolland, Amélie & Wery, Jean & Laviolette, François, 2020. "Machine learning-based models of sawmills for better wood allocation planning," International Journal of Production Economics, Elsevier, vol. 222(C).
    5. Pamela Alvarez & Jorge Vera, 2014. "Application of Robust Optimization to the Sawmill Planning Problem," Annals of Operations Research, Springer, vol. 219(1), pages 457-475, August.

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