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Solving the Continuous Berth Allocation and Specific Quay Crane Assignment Problems with Quay Crane Coverage Range

Author

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  • Feng Li

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, 100044 Beijing, China)

  • Jiuh-Biing Sheu

    (Department of Business Administration, National Taiwan University, Taipei 10617, Taiwan)

  • Zi-You Gao

    (Beijing Jiaotong University, 100044 Beijing, China)

Abstract

This work solves an integrated model of the continuous berth allocation and specific quay crane (QC) assignment problem with QC coverage range. Based on the analysis of vessel berth position and QC coverage range, a nonlinear mixed-integer programming model is developed. A novel heuristic method based on spatiotemporal conflict analysis is applied to derive a high-quality berth-QCs plan. The initial pessimistic priorities of vessels are employed to reflect the preferences of vessels for terminal resources. The proposed cluster of vessels focuses on spatiotemporal conflicts among vessels. Coordinated assignments of resources for the clustered vessels are realized via the branch-and-bound method. The QC feasibility check identifies infeasibility of QCs-to-vessel assignment. Several experiments are conducted to validate the effectiveness of the proposed method. Numerical results demonstrate that high-quality berth-QCs plans can be obtained within an acceptable time. Further, the influence of coverage range of QC is discussed in detail.

Suggested Citation

  • Feng Li & Jiuh-Biing Sheu & Zi-You Gao, 2015. "Solving the Continuous Berth Allocation and Specific Quay Crane Assignment Problems with Quay Crane Coverage Range," Transportation Science, INFORMS, vol. 49(4), pages 968-989, November.
    • Handle: RePEc:inm:ortrsc:v:49:y:2015:i:4:p:968-989
    DOI: 10.1287/trsc.2015.0619
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    Cited by:

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    3. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    4. Xufeng Tang & Chang Liu & Xinqi Li & Ying Ji, 2023. "Distributionally Robust Programming of Berth-Allocation-with-Crane-Allocation Problem with Uncertain Quay-Crane-Handling Efficiency," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    5. Xiang, Xi & Liu, Changchun, 2021. "An almost robust optimization model for integrated berth allocation and quay crane assignment problem," Omega, Elsevier, vol. 104(C).
    6. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    7. Lashkari, Shabnam & Wu, Yong & Petering, Matthew E.H., 2017. "Sequencing dual-spreader crane operations: Mathematical formulation and heuristic algorithm," European Journal of Operational Research, Elsevier, vol. 262(2), pages 521-534.
    8. Fanrui Xie & Tao Wu & Canrong Zhang, 2019. "A Branch-and-Price Algorithm for the Integrated Berth Allocation and Quay Crane Assignment Problem," Transportation Science, INFORMS, vol. 53(5), pages 1427-1454, September.
    9. Shang, Xiao Ting & Cao, Jin Xin & Ren, Jie, 2016. "A robust optimization approach to the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 44-65.
    10. Iris, Çağatay & Pacino, Dario & Ropke, Stefan, 2017. "Improved formulations and an Adaptive Large Neighborhood Search heuristic for the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 123-147.

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