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

Top (Berl)

Insight Centre for Data Analytics, School of Computer Science and IT, University College Cork, Cork, Ireland.

Published: March 2022

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103485PMC
http://dx.doi.org/10.1007/s11750-022-00623-7DOI Listing

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