关键词: 城市配送, 末端交付, 时间窗, 自提柜选址, 路径规划

Abstract: To fulfill the individual requirements for different last-mile delivery methods and time slots in urban distribution,a multi-objective integrated optimization model of reception box locating,time slot allocation and vehicle routing was constructed by considering the demand depending on the last-mile delivery and time slots.The model represented the effect of reception box distance and delivery time deviation to the customers' choice procedure.Multi-objective Particle Swarm Optimization (MOPSO) with modified coding method and initializing swarm construction was applied to solve a Solomon's benchmark problem.The result showed that the solution with the minimum cost and max delivery quantity at the same time did not realized;the solutions in the two objectives should decrease the number of reception box and provide more attended home service as the customer's sensitivity on the reception box distance increased;the solutions in the two objectives could not avoid the delivery quantity decreasing and the trend of the reception box and vehicles quantity was not significant as the customer's sensitivity on the delivery time deviation increased.

Key words: urban distribution, last mile delivery, time slot, reception box locating, routing planning