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Integrated quay crane and yard truck scheduling for unloading inbound containers

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  • Kaveshgar, Narges
  • Huynh, Nathan

Abstract

To lower vessel turn time, it is crucial that the operations of quay cranes, yard trucks, and yard cranes are well coordinated. Most studies have sought to optimize each of these processes independently. Since the operations by quay cranes and yard trucks are highly interrelated it is necessary to develop and solve these operations in an integrated manner that reflects the characteristics of the marine container terminals. This study developed a mixed integer programming model for scheduling quay cranes and yard trucks jointly. The integrated model explicitly considered real-world operational constraints such as precedence relationships between containers, blocking, quay crane interference, and quay crane safety margin. To solve the integrated optimization model, a genetic algorithm (GA) combined with a greedy algorithm was developed. The results indicated that the solutions obtained from the integrated model are superior to those obtained from the non-integrated approach. The GA solutions demonstrated that the developed integrated model is solvable within reasonable time for an operational problem.

Suggested Citation

  • Kaveshgar, Narges & Huynh, Nathan, 2015. "Integrated quay crane and yard truck scheduling for unloading inbound containers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 168-177.
    • Handle: RePEc:eee:proeco:v:159:y:2015:i:c:p:168-177
    DOI: 10.1016/j.ijpe.2014.09.028
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    Cited by:

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    2. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
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    4. Kizilay, Damla & Hentenryck, Pascal Van & Eliiyi, Deniz T., 2020. "Constraint programming models for integrated container terminal operations," European Journal of Operational Research, Elsevier, vol. 286(3), pages 945-962.
    5. Zhang, Xiaoju & Zeng, Qingcheng & Sheu, Jiuh-Biing, 2019. "Modeling the productivity and stability of a terminal operation system with quay crane double cycling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 181-197.
    6. Gang Ren & Xiaohan Wang & Jiaxin Cai & Shujuan Guo, 2021. "Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    7. Chargui, Kaoutar & Zouadi, Tarik & El Fallahi, Abdellah & Reghioui, Mohamed & Aouam, Tarik, 2021. "Berth and quay crane allocation and scheduling with worker performance variability and yard truck deployment in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    8. Nabil Nehme & Bacel Maddah & Isam A. Kaysi, 2021. "An integrated multi-ship crane allocation in Beirut Port container terminal," Operational Research, Springer, vol. 21(3), pages 1743-1761, September.
    9. Enrico Musso & Anna Sciomachen, 0. "Impact of megaships on the performance of port container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 0, pages 1-14.
    10. Zhang, Xiaoju & Zeng, Qingcheng & Yang, Zhongzhen, 2016. "Modeling the mixed storage strategy for quay crane double cycling in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 171-187.
    11. Enrico Musso & Anna Sciomachen, 2020. "Impact of megaships on the performance of port container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(3), pages 432-445, September.
    12. T. Jonker & M. B. Duinkerken & N. Yorke-Smith & A. Waal & R. R. Negenborn, 2021. "Coordinated optimization of equipment operations in a container terminal," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 281-311, June.
    13. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    14. Ma, Hoi-Lam & Wong, Collin Wai-Hung & Leung, Lawrence C. & Chung, Sai-Ho, 2020. "Facility sharing in business-to-business model: A real case study for container terminal operators in Hong Kong port," International Journal of Production Economics, Elsevier, vol. 221(C).
    15. Lu Zhen & Shucheng Yu & Shuaian Wang & Zhuo Sun, 2019. "Scheduling quay cranes and yard trucks for unloading operations in container ports," Annals of Operations Research, Springer, vol. 273(1), pages 455-478, February.
    16. Dalila B. M. M. Fontes & S. Mahdi Homayouni, 2023. "A bi-objective multi-population biased random key genetic algorithm for joint scheduling quay cranes and speed adjustable vehicles in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 241-268, March.

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