Solution Algorithm for Vehicle Routing Problem with Stochastic Demand

Masahiro Komatsu, Ryota Omori, Tetsuya Sato, Takayuki Shiina
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Abstract

The vehicle routing problem (VRP) determines a delivery route that minimizes the delivery cost. In this study, we consider the stochastic VRP with uncertainty and consider the variation in customer demand, which may cause a shortage of products during delivery. In this case, delivery vehicles have to return to the depot and replenish the products. We consider a model that minimizes the sum of the additional cost caused by the shortage and the normal delivery cost.
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随机需求车辆路径问题的求解算法
车辆路线问题(vehicle routing problem, VRP)确定了一条运输成本最小的运输路线。在本研究中,我们考虑具有不确定性的随机VRP,并考虑客户需求的变化,这可能导致产品在交付过程中出现短缺。在这种情况下,运输车辆必须返回仓库并补充产品。我们考虑一个模型,使缺货造成的额外成本和正常交货成本的总和最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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