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Scheduling quay cranes and yard trucks for unloading operations in container ports

Author

Listed:
  • Lu Zhen

    (Shanghai University)

  • Shucheng Yu

    (Shanghai University)

  • Shuaian Wang

    (The Hong Kong Polytechnic University)

  • Zhuo Sun

    (Dalian Maritime University)

Abstract

This paper studies an integrated optimization problem on quay crane and yard truck scheduling in container terminals. A mixed-integer programming model is formulated. For the model, we show the integrated scheduling problem is strongly NP-hard and investigate some properties that can considerably reduce the computational complexity. For solving the proposed model within a reasonable time, a particle swarm optimization based solution method is developed. Numerical experiments are conducted to compare the proposed method with the CPLEX solver and the genetic algorithm. The results validate the effectiveness of the proposed model and the efficiency of the proposed solution method.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-016-2335-9
    DOI: 10.1007/s10479-016-2335-9
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    References listed on IDEAS

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    Cited by:

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    5. Ahmed M. Abdelmagid & Mohamed Gheith & Amr Eltawil, 2022. "Scheduling External Trucks Appointments in Container Terminals to Minimize Cost and Truck Turnaround Times," Logistics, MDPI, vol. 6(3), pages 1-22, July.
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    9. 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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