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Cutting uncertain stock and vehicle routing in a sustainability forestry harvesting problem

Author

Listed:
  • Adejuyigbe O. Fajemisin

    (University of Amsterdam)

  • Steven D. Prestwich

    (University College Cork)

  • Laura Climent

    (University College Cork
    Universidad Autónoma de Madrid)

Abstract

Sustainable forest management is concerned with the management of forests according to the principles of sustainable development. As a contribution to the field, this paper combines the Vehicle Routing Problem (VRP) (in which the vehicles are harvesters) with the Multiple Stock Size Cutting Stock Problem under uncertainty (in which the stock is logs). We present an Integer Linear Program that dynamically combines the cutting of the uncertain stock with vehicle routing, and uses it to address real-life problems. In experiments on real data from the forestry harvesting industry, we show that it outperforms a commonly used metaheuristic algorithm.

Suggested Citation

  • Adejuyigbe O. Fajemisin & Steven D. Prestwich & Laura Climent, 2023. "Cutting uncertain stock and vehicle routing in a sustainability forestry harvesting problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 139-164, April.
    • Handle: RePEc:spr:topjnl:v:31:y:2023:i:1:d:10.1007_s11750-022-00623-7
    DOI: 10.1007/s11750-022-00623-7
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    References listed on IDEAS

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