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Container Transportation Scheduling Between Port Yards and the Hinterland in Yunfeng

Author

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  • Lu Zhen

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Wenya Lv

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Zheyi Tan

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Bin Dong

    (Yunfeng International Logistics (Shanghai) Co. Ltd., Shanghai, China)

Abstract

This paper introduces a container transportation scheduling problem in a large logistic company (Yunfeng) in Shanghai City, PR China. This problem considers two types of container transportation orders (i.e., door-to-door orders and warehouse orders) between port yards and the hinterland. Unlike the pickup and delivery problem with time windows, this problem needs to consider not only container pickups and deliveries, but also the loading or unloading of cargo inside containers. Moreover, this problem takes account of some constraints on container transportation regulations in China. We formulate this problem as a mixed-integer programming model and design an improved backtracking search optimization algorithm. Based on the proposed model and algorithm, a vehicle scheduling decision support system is also developed to integrate data collection, preprocessing, Amap (a digital map, navigation, and location service provider in China) interfacing, and optimization. The improvement of the operational efficiency is validated by the usage of the proposed system in practice.

Suggested Citation

  • Lu Zhen & Wenya Lv & Zheyi Tan & Bin Dong, 2022. "Container Transportation Scheduling Between Port Yards and the Hinterland in Yunfeng," Interfaces, INFORMS, vol. 52(3), pages 250-266, May.
    • Handle: RePEc:inm:orinte:v:52:y:2022:i:3:p:250-266
    DOI: 10.1287/inte.2021.1102
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    References listed on IDEAS

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    1. Yves Ndikuriyo & Yinggui Zhang & Dung Davou Fom, 2025. "An Improved Self-Organizing Genetic Algorithm for Optimizing Container Transportation Routing Problems Under Times Windows," SN Operations Research Forum, Springer, vol. 6(2), pages 1-24, June.

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