"The Last Kilometer" Network Optimization Research of E-Commerce

2014 ◽  
Vol 1042 ◽  
pp. 224-227
Author(s):  
Yu Feng Zhuang ◽  
Zhi Wei Wang

In this paper we present a series of more rigorous steps, using a location model and take into account the actual roads’ condition, rents and other relevant factors to solve the network location problem. And we put forward a new idea to solve the "the last kilometer" problem of e-commerce’s network optimization.

2014 ◽  
Vol 1039 ◽  
pp. 593-602 ◽  
Author(s):  
Hao Yu ◽  
Wei Deng Solvang ◽  
Jin Guang Yang

Location problem of service facility has never lost its appeal to both academics and practitioners due to the complexity in balancing availability, responsiveness and efficiency. In this paper, a location-based study is performed in order to improve the accessibility of service facility in terms of availability and responsiveness for customers as well as the efficiency for service providers. This study employs two well-known location models for service facility: Maximal covering location model which aims to maximize the coverage of customer demands with limited number of facilities (efficiency) and p-median location model which aims to minimize the overall distance travelled from customs to service facilities (accessibility), and location-based comparison of the two solutions in a case study at the 3rd floor of the main building of Narvik University College (NUC) for improving the overall performance of printing service is conducted so as to illustrates a deep insight of real-world application. The optimal solutions for maximizing the overall performance are obtained under different scenarios, and Lingo software is applied for resolving the computational optimization problems.


Author(s):  
Sergio Morales Pacheco ◽  
Oliver Schutze ◽  
Carlos Vera ◽  
Leonardo Trujillo ◽  
Yazmin Maldonado

2020 ◽  
Vol 214 ◽  
pp. 01045
Author(s):  
Lei Zhou ◽  
Wenchuan Wang ◽  
Fachao Li

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.


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