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Yard Crane Scheduling in the Ground Trolley-Based Automated Container Terminal

Author

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  • Xiao-Ming Yang

    (Shanghai Offshore Engineering Research Institute, Shanghai Maritime University, Shanghai 201306, P. R. China)

  • Xin-Jia Jiang

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China)

Abstract

The yard crane (YC) scheduling problem is studied for a new terminal design, known as the Ground Trolley-based Automated Container Terminal (GT-ACT). At the operational level, the YC scheduling problem considering GT could be formalized as job sequencing. The cooperative operation of the twin YCs, GT and the transport vehicles is complicated, a small change in the operation sequence may cause a chain reaction, which could overthrow the partial sequence preferred previously. A hybrid algorithm based on the nested partition (NP) framework is proposed. The ant colony (AC) algorithm is combined in the method for solution construction, while genetic algorithm (GA) is used for the perturbation and backtrack purposes. Experiments show the hybrid method is effective for practical problems under different scales. The AC and GA algorithms play an important role in improving the optimization.

Suggested Citation

  • Xiao-Ming Yang & Xin-Jia Jiang, 2020. "Yard Crane Scheduling in the Ground Trolley-Based Automated Container Terminal," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-28, March.
    • Handle: RePEc:wsi:apjorx:v:37:y:2020:i:02:n:s0217595920500074
    DOI: 10.1142/S0217595920500074
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    References listed on IDEAS

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    Cited by:

    1. Hang Yu & Yiyun Deng & Leijie Zhang & Xin Xiao & Caimao Tan, 2022. "Yard Operations and Management in Automated Container Terminals: A Review," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    2. Domenico Gattuso & Domenica Savia Pellicanò, 2023. "HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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