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THE VEHICLE ROUTING PROBLEM WITH BACKHAULS AND INVENTORY

机译:倒退和库存的车辆路由问题

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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:本文的目的是确定背部(VRPB)的车辆路由问题的路线,提供新物品并拾取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没有。用于交付和拾取的车辆路由决定以及库存控制决策彼此影响,并且必须一起考虑。因此,提出了具有逆向和库存(VRPBI)的车辆路由问题的数学模型。由于找到VRPBI的最佳解决方案是一个NP难题,本文提出了一种启发式方法,可变邻域禁忌搜索(VNT),采用六个邻域搜索方法来获得最佳解决方案。此外,本文比较了拟议的两种现有启发式方法的启发式方法。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)方面优于另外两种方法。

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