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THE VEHICLE ROUTING PROBLEM WITH BACKHAULS AND INVENTORY

机译:带回程和库存的车辆路线选择问题

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The purpose of this paper is to determine the route of the vehicle routing problem with backhauls (VRPB), delivering new items and picking up the reused items or wastes, and resolve the inventory control decision problem simultaneously since the regular VRPB does not. Both the vehicle routing decision for delivery and pickup, and the inventory control decision affect each other and must be considered together. Hence, a mathematical model of vehicle routing problem with backhauls and inventory (VRPBI) is proposed. Since finding the optimal solution(s) for VRPBI is a NP-hard problem, this paper proposes a heuristic method, variable neighborhood tabu search (VNTS), adopting six neighborhood searching approaches to obtain the optimal solution. Moreover, this paper compares the proposed heuristic method with two other existing heuristic methods. The experimental results indicate that the proposed method is better than the two other methods in terms of average logistic cost (transportation cost and inventory cost).
机译:本文的目的是确定带有回程(VRPB)的车辆路线问题的路线,交付新物品并捡拾重复使用的物品或废物,并同时解决库存控制决策问题,因为常规VRPB不会这样做。交货和取货的车辆路线选择决策和库存控制决策都相互影响,因此必须一起考虑。因此,提出了带有回程和库存的车辆路径问题的数学模型(VRPBI)。由于找到VRPBI的最优解是一个NP难题,因此本文提出了一种启发式方法,即可变邻域禁忌搜索(VNTS),采用六种邻域搜索方法来获得最优解。此外,本文将提出的启发式方法与其他两种现有的启发式方法进行了比较。实验结果表明,该方法在平均物流成本(运输成本和库存成本)方面优于其他两种方法。

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