Optimization of Delivery Considering Redelivery and Loading Methods

Daiki Ojima, M. Uehara, T. Mihara
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Abstract

Delivering packages door-to-door is convenient because of its accuracy and speed. Recently, such delivery services have become widely used for online shopping. However, package delivery may sometimes fail to be completed in the specified time window because of the large number of packages. Therefore, it is important to optimize the delivery distance. This distance depends on the location of customers and whether they are absent. In this paper, we examine several cases of loading packages by considering redelivery, and evaluate delivery distance using the branch and bound method and the genetic algorithm. From the results, we conclude that the delivery distance depends on the probability of redelivery, and that the optimum order for visiting customers depends on their locations.
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考虑再交货和装货方法的交货优化
送货上门很方便,因为它的准确性和速度。最近,这种快递服务已被广泛用于网上购物。但是,由于包裹数量较多,有时可能无法在规定的时间窗口内完成包裹交付。因此,优化配送距离十分重要。这个距离取决于客户的位置以及他们是否不在。本文研究了考虑再投递的几种情况,并利用分支定界法和遗传算法对投递距离进行了评估。结果表明,配送距离取决于顾客再配送的概率,而顾客的最优订单取决于顾客所处的位置。
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