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Forest harvesting planning under uncertainty: a cardinality-constrained approach

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  • Omid Sanei Bajgiran
  • Masoumeh Kazemi Zanjani
  • Mustapha Nourelfath

Abstract

Harvesting planning (HP) is a key tactical decision in lumber supply chains. Harvesting areas in the forests are divided into different blocks with different types and quantities of raw materials (logs). Predicting the availability of raw materials in each block along with log demand is impossible in this industry. Hence, incorporating uncertainty into the HP problem is essential in order to obtain robust plans that do not drastically fluctuate in the presence of future perturbations in the forest and log market. In this paper, we propose a robust harvesting planning model formulated based on cardinality-constrained method. The latter provides some insights into the adjustment of the level of robustness of the harvesting plan over the planning horizon and protection against uncertainty. An extensive set of experiments based on Monte-Carlo simulation is also conducted in order to better validate the proposed robust optimisation approach.

Suggested Citation

  • Omid Sanei Bajgiran & Masoumeh Kazemi Zanjani & Mustapha Nourelfath, 2017. "Forest harvesting planning under uncertainty: a cardinality-constrained approach," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1914-1929, April.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:7:p:1914-1929
    DOI: 10.1080/00207543.2016.1213915
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    Cited by:

    1. Nazanin Aslani & Onur Kuzgunkaya & Navneet Vidyarthi & Daria Terekhov, 2021. "A robust optimization model for tactical capacity planning in an outpatient setting," Health Care Management Science, Springer, vol. 24(1), pages 26-40, March.
    2. Alonso-Ayuso, Antonio & Escudero, Laureano F. & Guignard, Monique & Weintraub, Andres, 2018. "Risk management for forestry planning under uncertainty in demand and prices," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1051-1074.

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