TY - JOUR
T1 - Cutting uncertain stock and vehicle routing in a sustainability forestry harvesting problem
AU - Fajemisin, Adejuyigbe O.
AU - Prestwich, Steven D.
AU - Climent, Laura
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
KW - Multiple Stock Size Cutting Stock Problem
KW - Sustainable forestry harvesting
KW - Uncertain stock
KW - Vehicle routing
UR - https://www.scopus.com/pages/publications/85126138981
U2 - 10.1007/s11750-022-00623-7
DO - 10.1007/s11750-022-00623-7
M3 - Article
AN - SCOPUS:85126138981
SN - 1134-5764
VL - 31
SP - 139
EP - 164
JO - TOP
JF - TOP
IS - 1
ER -