Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Network Construction of Underground Logistics System Based on System Clustering and Centre of Gravity Method

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344798,
        author={Qunying  Liu},
        title={Network Construction of Underground Logistics System Based on System Clustering and Centre of Gravity Method},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={logistics system network; system clustering; centre of gravity method},
        doi={10.4108/eai.8-12-2023.2344798}
    }
    
  • Qunying Liu
    Year: 2024
    Network Construction of Underground Logistics System Based on System Clustering and Centre of Gravity Method
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344798
Qunying Liu1,*
  • 1: Shanghai University
*Contact email: liuqunying1224@163.com

Abstract

To alleviate the conflict between urban logistics and traffic, society, space, and the environment in the development process, it is a beneficial approach to establish an underground logistics system network within the urban area. This paper examines the selection of underground logistics nodes, explores the design of the underground channel network, applies a mathematical modelling method to enhance the channel network, and executes the construction time sequence and dynamic optimization, providing feasible solutions of significant practical importance. To address the issue of locating multiple distribution centres within a region, this study suggests employing a combination of system clustering and the centre of gravity method in order to determine the optimal locations for multi-node distribution centres. The proposed approach offers a more effective means of identifying potential sites, thereby improving distribution efficiencies in the region.