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.
| Original language | English |
|---|---|
| Pages (from-to) | 139-164 |
| Number of pages | 26 |
| Journal | TOP |
| Volume | 31 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Apr 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 15 Life on Land
UCC Futures
- Artificial Intelligence and Data Analytics
Keywords
- Multiple Stock Size Cutting Stock Problem
- Sustainable forestry harvesting
- Uncertain stock
- Vehicle routing
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