Abstract
In recent years, with the continuous development of the Internet and the increasing popularity and progress of smart phones, e-commerce has become familiar and used by everyone. The rapid development of e-commerce has had a great impact on the business model and business philosophy of the entire society, and has become a new economic development point in my country, providing conditions for the rapid development of e-commerce. This paper aims to study the optimization method of e-commerce logistics distribution based on Dijkstra algorithm. By analyzing the obstacles faced by the e-commerce industry in the development of terminal distribution areas, combined with the local characteristics and the current situation of online shopping, this paper establishes a distribution optimization mathematical model based on Dijkstra’s algorithm, the ultimate goal of solving the problem is to reduce the cost of the company. Solve the practical problems of terminal distribution. This paper makes full use of the research method combining theory and practice to study the logistics distribution of e-commerce logistics in terminal distribution. On this basis, the hybrid tag search algorithm is used to study the distribution method of e-commerce. Experiments show that the algorithm path optimization in this paper can be reduced by about 10 km compared to the empirical path, and the best terminal distribution mode is logistics cabinet distribution.
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Lin, S. (2023). Path Optimization of e-Commerce Logistics Terminal Distribution Mode Based on Dijkstra Algorithm. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-99-0880-6_22
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DOI: https://doi.org/10.1007/978-981-99-0880-6_22
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