Research on the Optimization Strategy of Last-Mile Distribution under the E-Commerce Logistics Model

Authors

  • Haohan Niu
  • Jiyuan Jia
  • Yunqi He

DOI:

https://doi.org/10.54097/4h5qvz77

Keywords:

E-commerce logistics, Last-mile delivery, Optimize your strategy

Abstract

With the rapid development of e-commerce, last-mile delivery, as a key link in e-commerce logistics, is essential to provide efficient and punctual delivery services. This study aims to explore the optimization strategy of last-mile delivery under the e-commerce logistics model to improve delivery efficiency, reduce costs, and provide a better user experience. This study adopts the method of literature review and case analysis, combined with the actual e-commerce logistics operation, to conduct an in-depth study on the problem of last-mile delivery.

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References

Wei L. Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization [J]. IEEE Access, 2020, 812179-12187.

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Xiaosheng Y, Peili W. Image Enhancement of Cross-Border E-Commerce Logistics Video Surveillance Based on Partial Differential Equations [J]. Advances in Mathematical Physics, 2021, 2021.

Rao J. Operation mode of electric business logistics based on the application of two-dimensional code technology [J]. International Journal of Metrology and Quality Engineering, 2020, 113.

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Fahong Y, Meijia C, Xiaoyun X, et al. Logistics Distribution Route Optimization With Time Windows Based on Multi-Agent Deep Reinforcement Learning [J]. International Journal of Information Technologies and Systems Approach (IJITSA), 2024, 17(1):1-23.

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Published

27-05-2024

Issue

Section

Articles

How to Cite

Niu, H., Jia, J., & He, Y. (2024). Research on the Optimization Strategy of Last-Mile Distribution under the E-Commerce Logistics Model. Frontiers in Business, Economics and Management, 15(2), 65-67. https://doi.org/10.54097/4h5qvz77