Research on logistics supply chain optimization strategy based on machine learning

Fang Zhang; Jingrong Hu

doi:10.1117/12.3024778

14 February 2024 Research on logistics supply chain optimization strategy based on machine learning

Fang Zhang, Jingrong Hu

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130182B (2024) https://doi.org/10.1117/12.3024778
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

With the process of globalization and the continuous development of the economy, the role of the logistics supply chain in corporate operations has become more and more prominent, and its optimization has become a core topic of modern management. This research aims to explore the optimization strategy of logistics supply chain through machine learning technology. First, based on an in-depth analysis of machine learning theory and supply chain processes, a specific machine learning model adapted to this scenario was selected, and empirical research was conducted to explore the problems and challenges that may be encountered in practical applications, and for this purpose, specific suggestions were put forward. sexual optimization plan. It is expected that through the application of machine learning, efficient, accurate and flexible management of the logistics supply chain can be achieved, bringing substantial benefit improvements to modern enterprises.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fang Zhang and Jingrong Hu "Research on logistics supply chain optimization strategy based on machine learning", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130182B (14 February 2024); https://doi.org/10.1117/12.3024778

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