A Model and Algorithm of Logistics Distribution Path in B2C Electronic Commerce Environment Based on Genetic Algorithm

Author(s):  
Peng Guo ◽  
Xueli Zhang
2021 ◽  
Vol 2083 (3) ◽  
pp. 032013
Author(s):  
Shaokun Liu

Abstract In this paper, SF express company Jinzhou Guta District Pinganli business point as an example, to investigate its distribution, statistical analysis of the survey results, summed up the problems in logistics and distribution. Through the systematic study of the problem, a planning model with time window and with the objective of minimizing the total cost of distribution is established. At the same time, an intelligent algorithm for distribution path optimization - Genetic Algorithm (GA) is designed. Genetic algorithm is used to design chromosome coding methods and genetic operators for solving the planning model with the objective of minimizing the total cost of distribution. Finally, the simulation experiment is carried out. MATLAB software is used to solve the distribution route and the total driving distance of vehicles, and the distribution route with the goal of minimizing the total distribution cost is obtained.


Author(s):  
Daniel Brandon Jr.

This article reviews globalization aspects of “business to consumer” (B2C) electronic commerce. According to Computerworld, “Globalization is the marketing and selling of a product outside a company’s home country. To successfully do that on the Internet, a company needs to localize – make its Web site linguistically, culturally, and in all other ways accessible to customers outside its home territory” (Brandon, 2001). This overview describes the key issues in the globalization of electronic commerce; for more detail, see the full book chapter (Brandon, 2002).


Author(s):  
Fahim Akhter ◽  
Zakaria Maamar ◽  
Dave Hobbs

The purpose of this article is to present an application of fuzzy logic to human reasoning about electronic commerce (e-commerce) transactions. This article uncovers some of the hidden relationships between critical factors such as security, familiarity, design, and competitiveness. We analyze the effect of these factors on human decision process and how they affect the Business-to-Consumer (B2C) outcome when they are used collectively. This research provides a toolset for B2C vendors to access and evaluate a user’s transaction decision process and also an assisted reasoning tool for the online user.


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