Route planning method for last-kilometer distribution of e-commerce logistics

Abstract

The invention discloses a route planning method for the last-kilometer distribution of e-commerce logistics. The method is characterized in that the method includes the following steps that: step 1, parameters are defined; step 2, the location information of customer sites is obtained; step 3, an initial optimization delivery route is obtained; 4, an improved 2-opt algorithm is adopted to obtain an optimization distribution path and the target value thereof; and step 5, a substitution and interpolation method is adopted to obtain an optimal distribution path, an optimal self-pickup path, and the target values of the optimal distribution path and the optimal self-pickup path. With the route planning method for the last-kilometer distribution of the e-commerce logistics of the invention adopted, the total distribution cost of the last one-kilometer distribution of existing e-commerce logistics can be effectively decreased, carbon emissions can be reduced, environmental protection can bebenefitted, distribution delay can be effectively reduced, and the service satisfaction of the customers can be improved.

Description

technical field [0001] The invention relates to a route planning method for the last mile distribution of e-commerce logistics, and belongs to the technical field of computer simulation and method optimization. Background technique [0002] At present, in the last mile distribution network of e-commerce logistics, the emergence of self-pickup points (such as: Fengchao, Express Express and Cainiao Station, etc.) not only provides customers with temporary parcel storage services, but also saves couriers from going up and down stairs. Time, improve the delivery efficiency of the courier. Self-pickup points have been widely accepted and used in the last mile delivery of e-commerce logistics. However, since the existing route planning method for the last mile delivery of e-commerce logistics does not include the emerging self-pickup points into the scope of the problem, the courier often tries to maximize the efficiency of the customer's delivery when delivering the last mile. ...

AI Technical Summary

Problems solved by technology

However, since the existing route planning method for the last mile delivery of e-commerce logistics does not include the emerging self-pickup points into the scope of the problem, the courier often tries to maximize the efficiency of the customer's delivery when delivering the last mile. The introduction of self-pickup points has led to a substantial increase in customer complaints, and the continuous decline in customer service satisfaction has seriously affected the reputation of express companies; therefore, an effective path planning method is urgently needed to optimize the last mile of e-commerce logistics with self-pickup points. Delivery route planning problem

Images