Abstract
The on urban terminal distribution network is the last link of urban distribution under the e-commerce environment. Under the assumption that the location of the distribution center is known, this paper studies the location problem of the terminal distribution network by considering the two goals of maximum resident satisfaction and maximum enterprise satisfaction. Among them, considering population size as the weight, it is the resident satisfaction function that constructs distance satisfaction. The enterprise satisfaction achieves the lowest cost from the perspective of fixed cost and operation cost of the end network, and then the weighted average method is used to construct the end network location model of comprehensive satisfaction. Finally, the improved immune algorithm is used to solve the model.
Highlights
With the popularization of mobile internet and the rapid development of e-commerce, online shopping has increasingly become one of the most popular shopping methods for people and provides an important impetus for economic development
Courier delivery the last kilometer is important to highlight the cause of the problem, such as due to the community for safety reasons, limit the Courier literally in and out of the community, possibly because people work, students and other reasons can't even accept delivery, in this way can lead to a Courier often require multiple service, while the secondary distribution can obviously increase the distribution cost of logistics company, to a large extent affected the terminal logistics distribution efficiency and resident satisfaction, so the end of the city logistics problem become the biggest sticking point of city logistics development
In order to alleviate the difficulty of terminal logistics distribution and optimize customers' shopping experience, this paper proposes the terminal distribution method of establishing terminal distribution station
Summary
With the popularization of mobile internet and the rapid development of e-commerce, online shopping has increasingly become one of the most popular shopping methods for people and provides an important impetus for economic development. The location problem of the terminal distribution network and its solution method presented in the above literature only adopt the classical site selection model and genetic algorithm. They only consider to minimize the total cost or resident satisfaction, and do not consider logistics enterprise satisfaction and resident satisfaction. Based on the above analysis, this study has the following contributions: 1) A residents satisfaction model based on the number of population in the community is proposed; 2) Establish a site selection model for end outlets based on the satisfaction of enterprises and residents; 3) a special immune algorithm is proposed to solve the end node location model, and the characteristics of the solution are analyzed
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