Biotechnology Commercial Exploration: Cross-Border E-Commerce Logistics Distribution Based on Multi-Objective Optimization

Zhao Wenya
School of economics, Zhejiang University of Technology, Hangzhou 310000, China
Fu Ze
Yiwu Innovation Institute, Yiwu Industrial & Commercial College, Yiwu, China, 322000

DOI:https://doi.org/10.5912/jcb2496

Abstract:

Optimizing the cross-border e-commerce logistics distribution route for biotechnology products and reducing transportation link costs to achieve scientific rationalization of logistics transportation is a critical aspect of logistics research today. Firstly, this paper analyzes the current situation of cross-border e-commerce logistics distribution for biotechnology products and provides countermeasures and suggestions to improve its efficiency. On this basis, MOO (Multi-objective Optimization) is adopted to optimize the terminal distribution network of e-commerce logistics tailored to the specific needs of biotechnology products. A model is constructed to minimize economic costs and optimize the distribution vehicle routes, and the influence of these factors on the optimization of cross-border e-commerce logistics terminal distribution networks for biotechnology products is determined. At the same time, leveraging the advantages of the positive feedback characteristics and fast convergence speed of ant colony optimization, the algorithm's convergence speed and optimization ability are effectively enhanced. The test results show that the accuracy of this algorithm is as high as 94.39%, which can effectively provide the best path for cross-border logistics distribution of biotechnology products. The optimization model of cross-border e-commerce logistics distribution proposed in this paper can obtain the optimal logistics scheme, providing support for logistics enterprises to scientifically dispatch distribution vehicles and ensuring the rapid and healthy development of cross-border e-commerce in the biotechnology sector.