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Last Mile Delivery with Lockers: Formulation and Heuristic

机译:最后一英里送储物柜:配方和启发式

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The creation of efficient routes is essential for different areas having several practical applications mainly in the transport of goods. With the growth of e-commerce and consequently the increase in demand for delivery to end users, minimizing costs in the delivery process has gained more importance, especially the last mile stage. It is in this context that the use of lockers emerges to optimize last mile deliveries. Lockers have compartments of different sizes, with self-service interface and they can be positioned in supermarkets, parks and other areas that are of interest to customers. The problem addressed in this work is to determine the positioning of the lockers and the necessary routes to supply them and to serve the remaining customers. We present a mathematical model to define the problem, but due to the complexity of the problem obtaining a solution can be very expensive and require a lot of computational effort, therefore we present a heuristic, based on Variable Neighborhood Descent (VND), using a greedy construct inspired by the Clark & Wright savings method. By comparing the results of the heuristic with the Gurobi optimizer, we conclude that the heuristic is capable of obtaining competitive solutions in less time than the exact methods.
机译:有效路线的创建对于具有主要在货物运输中的多个实际应用的不同区域至关重要。随着电子商务的增长,从而增加了对最终用户的需求需求,最大限度地减少了交付过程中的成本,增强了更重要的,特别是最后一英里舞台。在这种情况下,储物柜的使用出现以优化最后一英里交付。储物柜具有不同尺寸的隔间,具有自助服务界面,它们可以定位在超市,公园和其他客户的其他领域。在这项工作中解决的问题是确定储物柜的定位和提供所需的路线,并为其提供剩余客户。我们介绍了一个数学模型来定义问题,但由于获得解决方案的问题的复杂性可以非常昂贵并且需要大量的计算工作,因此我们呈现了一种基于可变邻域下降(VND)的启发式,使用a贪婪的构造灵感来自克拉克和赖特储蓄方法。通过将启发式与Gurobi优化器的结果进行比较,我们得出结论,启发式能够在较短的时间内获得竞争的解决方案而不是确切的方法。

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