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Berth allocation and quay crane assignment considering the adoption of different green technologies

Author

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  • Yu, Jingjing
  • Tang, Guolei
  • Voß, Stefan
  • Song, Xiangqun

Abstract

To reduce vessel emissions, various green technologies have been proposed, such as switching fuel oil, using scrubbers, and implementing shore side electricity (SSE). Based on the management and operation conditions of ports and shipping companies, three impact factors are extracted: (1) the different availability of green technologies on shore and on board, (2) the time-of-use electricity tariff, and (3) the incentives. Considering them raises a problem of how to best leverage green technologies in reducing emissions while meeting the economic needs of ports and shipping companies. To address the problem, this paper first proposes a mixed-integer programming model to optimize the berth allocation and quay crane assignment, the sailing speed of vessels and the usage time of each green technology to minimize the penalty cost to the port and the vessel cost to the shipping companies. Then, a decomposition for the proposed model is conducted by the frame of the Partial Optimization Metaheuristic Under Special Intensification Conditions (POPMUSIC), and the Nested Non-dominated Sorting Genetic Algorithm II (N-NSGA-II) is applied to solve each decomposed sub-model. Numerical experiments are performed to demonstrate the applicability and effectiveness of the proposed model and solution approach. Different Pareto solutions are provided, based on which trade-offs between different objectives are dissected and managerial suggestions are outlined.

Suggested Citation

  • Yu, Jingjing & Tang, Guolei & Voß, Stefan & Song, Xiangqun, 2023. "Berth allocation and quay crane assignment considering the adoption of different green technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:transe:v:176:y:2023:i:c:s1366554523001734
    DOI: 10.1016/j.tre.2023.103185
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    Cited by:

    1. Gao, Zhendi & Ji, Mingjun & Kong, Lingrui & Hou, Xinhao, 2024. "Scheduling of automated ore terminal operations based on fixed inflow rhythm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).

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