关键词: 城市配送, 末端交付, 时间窗管理, 服务选项联合定价, 多目标优化

Abstract: To solve the joint pricing of delivery options such as last-mile delivery methods and time slots,a nested Logit model was applied to describe customers' choice behavior of delivery options,including the attended home delivery,reception boxes delivery and different time slots.By considering the distribution cost minimum and the expected benefit maximum,the multi-objective joint pricing model of delivery options in urban distribution was established based on the mixed integer programming for analyzing the effect of delivery methods' scale factor on the joint pricing.The simulation analysis showed that there were clear Pareto fronts in RC201 and RC206 example;the customer substitution probability between different options was reduced and price adjustment had less impact on optimization goals as the scale factor of the attended home delivery increased,so the trend of attended home delivery pricing and time slot pricing was not clear.Owing to the fact that time slot constraint of reception box delivery was weaker than attended home delivery,time window pricing increasing was beneficial to achieve multi-objective Pareto improvement as the reception box delivery's scale factor increased.

Key words: urban distribution, last-mile delivery, time slot management, delivery option pricing, multi-objective optimization