Research On Optimization Of Express Transportation Service Network Considering Minimum Tail Quantity

In recent years,with the development of China's economy and the rise of e-commerce,people's demands for express parcel transportation is increasing,and at the same time,higher requirements are imposed on express delivery timeliness.Therefore,the timeliness of express delivery has also become the important aspect of the service level of express delivery enterprises to improve.From the perspective of express delivery companies,timeliness will increase the transportation costs,but it will help attract customers and occupy the market share of express delivery,thereby the economic efficiency and corporate reputation of enterprises will be improved.At the same time,from the customers' point of view,there is a close direct relationship between transportation timeliness and customer satisfaction.This paper starts the express time analysis of express delivery from the perspective of the tail volume of express parcel transportation,in order to reduce the time on the road and in the central office,and improve the service level and quality of express delivery.The specific research is as follows:(1)On the basis of summarizing the research results of express transportation service network,the related concepts and basic elements of express transportation service network are expounded,the evolution law and classification of transportation service network are summarized,and the goal,principle,content and influencing factors of express transportation service network optimization are put forward.And the current status and problems of tail processing are analyzed.(2)Analyze the impact of express delivery tail quantity on the timeliness of express delivery service network,and summarize the essence of express service network optimization problem considering the minimum amount of express delivery package.Based on this,the service network optimization mathematical model is used to introduce the express package tail quantity,and the express service network optimization model considering the minimum package tail is constructed.(3)By analyzing the model and comparing several heuristic algorithms,the ant colony algorithm with improved pheromone allocation method is designed to solve the model The validity of the model and algorithm is verified by an example.(4)Taking the actual situation and real data of China Post Express as an example,the mathematical model and algorithm of this paper are used to optimize.The optimization results show that the considered minimum express delivery service network optimization model and the improved ant colony algorithm,are applicative and can get a higher quality solution to actual problems.