| In recent years,China's logistics has developed rapidly.Not only has logistics demand increased rapidly,operating efficiency has improved,but infrastructure has also been continuously improved.It has played an important supporting role in guaranteeing stable and rapid development of the national economy.Against this background,many logistics companies realize that it is difficult to grasp market opportunities and meet customer needs based on the advantages and resources of a single enterprise.Integrating resources and establishing joint distribution alliances undoubtedly improves logistics efficiency,enhances the competitiveness of enterprises,and enhances An important way for customer satisfaction.In this context,the establishment of a network shopping flow city common distribution alliance will integrate all logistics enterprises into one logistics network,and the alliance will receive orders and redistribute them to the logistics enterprises in the alliance,not only improving the resource utilization rate of the logistics enterprises.At the same time,it also improves customer satisfaction.The thesis first summarizes the domestic and foreign research status of order allocation and resource matching,introduces the basic concept and application of common distribution alliances,analyzes the necessity of joint distribution,and passes the orders under the common shopping distribution network of the online shopping stream.The decomposition of the distribution problem raises three issues.In the specific research process of this article,through the construction of logistics network,and through the study of the order distribution performance evaluation system,combined with the customer demand analysis under the network shopping flow environment,we get the indicators of the multi-objective model of order allocation;The paper gives the accounting tables and formulas;based on this research,the paper establishes a multi-objective model that minimizes logistics costs,has the shortest logistics time,and has the highest quality of logistics distribution.Under the constraint conditions,it adopts the maximum and minimum ant colony algorithm and The combination of genetic algorithms solves the order distribution model under the environment of common shopping and distribution alliances in the online shopping flow city.Finally,it applies the analysis to the order distribution model under the joint distribution alliance environment and draws the customer's requirements and the lowest total logistics cost.The shortest total time,the highest order distribution of logistics distribution.Through the improvement of the efficiency of logistics enterprises and the improvement of customer satisfaction,the scientific of the model is proved.The conclusions of this paper also provide development advice for enterprises and alliance managers in logistics alliances. |
