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

被引:3
|
作者
Fajemisin, Adejuyigbe O. [1 ]
Prestwich, Steven D. [2 ]
Climent, Laura [2 ,3 ]
机构
[1] Univ Amsterdam, Amsterdam Business Sch, Amsterdam, Netherlands
[2] Univ Coll Cork, Insight Ctr Data Analyt, Sch Comp Sci & IT, Cork, Ireland
[3] Univ Autonoma Madrid, Departamento Ingn Informat, Madrid, Spain
基金
爱尔兰科学基金会;
关键词
Multiple Stock Size Cutting Stock Problem; Uncertain stock; Vehicle routing; Sustainable forestry harvesting; LINEAR-PROGRAMMING APPROACH; ROLLING HORIZON APPROACH; ADAPTIVE-CONTROL; TABU SEARCH; BUCKING; ALGORITHM; TYPOLOGY; MODEL; TIME;
D O I
10.1007/s11750-022-00623-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:139 / 164
页数:26
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