Last mile delivery optimization considering customers'self-pickup behavior and vehicle mobile parking for self-pickup
To improve the efficiency of last-mile delivery and reduce delivery costs,based on the demands for home delivery and self-pickup,this paper,proposes a hybrid delivery mode that combines home delivery with vehicle mobile parking for self-pickup.Subsequently,optimization research on delivery is conducted.Firstly,a correlation between vehicle parking scheduling and customers'self-pickup behavior is established through the study of customers'self-pickup.Building upon this foundation,an integrated decision-making process for vehicle stop location selection,parking time scheduling,and vehicle routing is carried out.A mixed-integer programming model is formulated with the objective of minimizing the sum of vehicle usage costs,routing costs,and self-pickup failure recovery costs.Subsequently,an improved variable neighborhood search algorithm is designed to efficiently solve this problem,and its effectiveness is validated through simulation experiments.Finally,a sensitivity analysis of the model and key parameters is conducted.Experimental results show that vehicle mobile parking for self-pickup,scheduling time granularity,number of stops,and charging mode significantly impact the delivery system.Comprehensive consideration of these factors holds practical significance in the optimization of the last-mile delivery system.
customers'self-pickup behaviorvehicle mobile parking for self-pickupmodified variable neighborhood search algorithmlast mile delivery
万方数据
维普
