Research On Optimization Of Urban Terminal Logistics Distribution Route Under High Speed Rail Express

With the structural adjustment of China’s Economic Industrial chain,the railway transport market,which mainly carries bulk goods,is facing severe challenges.Facing the fierce competition in the national logistics industry,China Railway Corporation,relying on the huge high-speed railway network,actively carries out the high-speed rail express business in order to enhance its competitiveness in the future logistics industry.With its own characteristics,high-speed rail express can quickly transfer the goods needed by customers from their origin to their destination,which improves the timeliness of freight transportation.In order to further meet the timeliness requirement of customers in urban terminal logistics distribution,an optimization model of urban terminal logistics distribution path with soft time window was established after in-depth study and analysis of the current actual situation of urban terminal logistics distribution,combined with the actual requirements of customers.The main contents of this paper are as follows:(1)In view of the current development situation of urban terminal logistics distribution under high-speed rail express,this paper focuses on the analysis of the organization mode,service product types,basic process and current shortcomings of urban terminal logistics distribution,and points out that the service quality of urban terminal logistics distribution will directly affect the future development of high-speed rail express.(2)In view of the actual situation of logistics distribution at the end of the city and the timeliness requirement of customers for goods distribution,the soft time window constraint is introduced to limit the time point when the distribution vehicles arrive at the service objects,effectively ensure that the goods required by customers are handed over within the prescribed time period,meet the timeliness requirement of customers and improve customer satisfaction.(3)The objectives of the model are defined.That is to say,according to the actual needs of customers,the objective function of minimizing the total cost of distribution is established.The total cost of distribution consists of transportation cost,congestion cost and penalty cost,among which congestion cost is mainly due to extra expenditure cost caused by road congestion.Based on this,an optimization model of urban terminal logistics distribution path with soft time window is established.(4)Design the solution algorithm according to the model.This paper designs two heuristic algorithms: adaptive genetic algorithm and simulated annealing algorithm combined with genetic algorithm to solve the urban terminal logistics distribution route optimization model with soft time window.(5)According to the model,the corresponding examples are given.Two heuristic algorithms designed by MATLAB software are used to solve the examples respectively,and the results are compared and analyzed.It is concluded that the combination of simulated annealing algorithm and genetic algorithm can make the results better.At the same time,the feasibility of the model is verified.