Research On Benefit And Allocation Model Of Express City Common Distribution

The explosive growth of e-commerce and the rise of online trading have promoted the development of express industry. However, the costs of chinese express industry is still so high. Meanwhile, there are still many problems in the urban distribution link. Express city common distribution is the effective way to solve the express distribution problems and reduce the express cost, because it reduce venues, personnel and vehicles through resource sharing. In order to promote the establishment and stable development of joint distribution alliance of China’s express enterprises, it is important to study the mode of joint distribution of express cities, and the economic benefits and cost allocation of express joint distribution enterprises.This paper involves three aspects. First, by analysing the organization mode of express enterprises in china and learning the experience of the courier co delivery case of United States, this paper builds a express city distribution model for our country. Second, it takes five express enterprises in Haidian District, Beijing as an example, to analyze the economic benefits of joint distribution quantitatively, by comparing the economic benefits before and after establishing regional joint distribution centers in the region, including changes in site operating costs, changes in transport costs and changes in labor costs. The result shows that the total cost saves 44% because of joint distribution. Third, this paper selects Raiffa solution as the basic model of cost allocation, by comparing and analyzing the advantages and disadvantages of four common alliance cost allocation methods, such as core method, Nash negotiation method, Shapley value and Raiffa solution. An improved Raiffa solution based on multiple factors is used to jointly distribute cost allocation model. The factors are express traffic, personalized service charge, resource input and risks. Finally, this paper also takes the above five express enterprises as an example to check the model and prove its effectiveness.