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Research on Cooperative Scheduling of Automated Quayside Cranes and Automatic Guided Vehicles in Automated Container Terminal

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  • Qianru Zhao
  • Shouwen Ji
  • Dong Guo
  • Xuemin Du
  • Hongxuan Wang

Abstract

According to previous research studies, automated quayside cranes (AQCs) and automated guided vehicles (AGVs) in automated container terminals have a high potential synergy. In this paper, a collaborative scheduling model for AQCs and AGVs is established and the capacity limitation of the transfer platform on AQCs is considered in the model. The minimum total energy consumption of automated quayside cranes (AQCs) and Automatic Guided Vehicles (AGVs) is taken as the objective function. A two-stage taboo search algorithm is adopted to solve the problem of collaborative scheduling optimization. This algorithm integrates AQC scheduling and AGV scheduling. The optimal solution to the model is obtained by feedback from the two-stage taboo search process. Finally, the Qingdao Port is taken as an example of a data experiment. Ten small size test cases are solved to evaluate the performance of the proposed optimization methods. The results show the applicability of the two-stage taboo search algorithm since it can find near-optimal solutions, precisely and accurately.

Suggested Citation

  • Qianru Zhao & Shouwen Ji & Dong Guo & Xuemin Du & Hongxuan Wang, 2019. "Research on Cooperative Scheduling of Automated Quayside Cranes and Automatic Guided Vehicles in Automated Container Terminal," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-15, November.
    • Handle: RePEc:hin:jnlmpe:6574582
    DOI: 10.1155/2019/6574582
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    Cited by:

    1. 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.
    2. 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.
    3. Zhang, Xiaoju & Jia, Nan & Song, Dongping & Liu, Baoli, 2024. "Modelling and analyzing the stacking strategies in automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    4. Doaa Naeem & Amr Eltawil & Junichi Iijima & Mohamed Gheith, 2022. "Integrated Scheduling of Automated Yard Cranes and Automated Guided Vehicles with Limited Buffer Capacity of Dual-Trolley Quay Cranes in Automated Container Terminals," Logistics, MDPI, vol. 6(4), pages 1-17, December.
    5. 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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