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Integrating berth allocation and quay crane assignments


  • Chang, Daofang
  • Jiang, Zuhua
  • Yan, Wei
  • He, Junliang


In this study, a dynamic allocation model using objective programming for berth allocation and quay crane assignments was preliminarily developed based on rolling-horizon approach. Afterwards, a hybrid parallel genetic algorithm (HPGA), which combined parallel genetic algorithm (PGA) and heuristic algorithm, was employed to resolve the proposed model. Furthermore, a simulation was conducted to evaluate the HPGA and to execute relevant gene repair techniques. Eventually, the numerical experiments on a specific container terminal were applied to illustrate the proposed models and algorithms. In so doing, the effectiveness of the proposed approach was verified.

Suggested Citation

  • Chang, Daofang & Jiang, Zuhua & Yan, Wei & He, Junliang, 2010. "Integrating berth allocation and quay crane assignments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 975-990, November.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:6:p:975-990

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    Cited by:

    1. Wang, Qi & Zhang, Chunyu & Ding, Yi & Xydis, George & Wang, Jianhui & Østergaard, Jacob, 2015. "Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response," Applied Energy, Elsevier, vol. 138(C), pages 695-706.
    2. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    3. Zhen, Lu, 2014. "Container yard template planning under uncertain maritime market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 199-217.
    4. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "A note on “Berth allocation considering fuel consumption and vessel emissions”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 48-54.
    5. Iris, Çağatay & Pacino, Dario & Ropke, Stefan & Larsen, Allan, 2015. "Integrated Berth Allocation and Quay Crane Assignment Problem: Set partitioning models and computational results," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 75-97.
    6. Cimpeanu, Radu & Devine, Mel T. & O’Brien, Conor, 2017. "A simulation model for the management and expansion of extended port terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 105-131.
    7. repec:eee:ejores:v:264:y:2018:i:1:p:138-148 is not listed on IDEAS
    8. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.


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