Intelligent logistics and distribution decision making method research and system design

Zheng Yang; Luonan Zhang

doi:10.1117/12.3024005

14 February 2024 Intelligent logistics and distribution decision making method research and system design

Zheng Yang, Luonan Zhang

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301820 (2024) https://doi.org/10.1117/12.3024005
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

This paper investigates the methods for intelligent logistics distribution decision-making and designs a smart logistics distribution decision system based on Spring Boot. In terms of warehousing and sorting, the sorting process is optimized by establishing a work environment model and computational rules. For freight scheduling, a comprehensive cost estimation model and a network location model are developed, and genetic algorithm and improved local search algorithm are used for freight scheduling. In the system design, the Spring Boot framework is used to implement functional modules, including warehousing and sorting module, freight scheduling module, and data analysis module. The system has been tested for compatibility, response time, and user interface, demonstrating good performance and user experience. The outcomes of this research provide references for improving logistics distribution efficiency and reducing costs, and have practical application value. Future research can focus on further optimizing algorithms, expanding system functionalities, applying the system to actual logistics fields, and promoting the development of intelligent logistics [1].

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

Citation Download Citation

Zheng Yang and Luonan Zhang "Intelligent logistics and distribution decision making method research and system design", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301820 (14 February 2024); https://doi.org/10.1117/12.3024005

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