Optimization of Multi-depot Open Electric Truck Cold Chain Logistics Distribution Route
In order to achieve logistics enterprises to reduce costs and increase efficiency and green development,considering such factors as load,power,time window constraint,battery dynamic power consumption rate,product freshness loss,increasing the charging function of depot and multi-depot joint distribution,the cold chain logistics distribution route problem of open multi-depot joint distribution of electric trucks was proposed.Taking the minimum total cost as the objective function,a mixed inte-ger programming model was established for this problem,and an improved genetic algorithm was designed to solve it,so as to op-timize the distribution route and charging scheme of cold chain logistics for electric trucks.The results show that open multi-center joint distribution can better meet customer time window constraints and reduce logistics operating costs;increasing the charging function of depots can reduce the impact of the shortage of charging stations on the operation of logistics enterprises.Considering the dynamic effect of vehicle load on the power consumption rate,the power consumption of vehicles during distribu-tion can be accurately reflected.The cost of the improved genetic algorithm is lower and the charging and path planning is better.
万方数据
维普
