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Integrated scheduling of handling equipment at automated container terminals

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  • Henry Lau
  • Ying Zhao

Abstract

To improve the productivities of an automated container terminal, it is important to schedule different types of handling equipment in an integrated way. A mixed-integer programming model, which considers various constraints related to the integrated operations between different types of handling equipment, is formulated. A heuristic algorithm, called multi-layer genetic algorithm (MLGA) is developed with a view to overcome the computation difficulty for solving the mathematical model. A numerical experimentation is carried out in order to evaluate the performance of the algorithm. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Henry Lau & Ying Zhao, 2008. "Integrated scheduling of handling equipment at automated container terminals," Annals of Operations Research, Springer, vol. 159(1), pages 373-394, March.
    • Handle: RePEc:spr:annopr:v:159:y:2008:i:1:p:373-394:10.1007/s10479-007-0262-5
    DOI: 10.1007/s10479-007-0262-5
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    References listed on IDEAS

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    Cited by:

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    6. Geraldine Knatz & Theo Notteboom & Athanasios A. Pallis, 2022. "Container terminal automation: revealing distinctive terminal characteristics and operating parameters," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 537-565, September.
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    10. Zeng, Qingcheng & Yang, Zhongzhen & Lai, Luyuan, 2009. "Models and algorithms for multi-crane oriented scheduling method in container terminals," Transport Policy, Elsevier, vol. 16(5), pages 271-278, September.
    11. Leonard Heilig & Stefan Voß, 2017. "Inter-terminal transportation: an annotated bibliography and research agenda," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 35-63, March.
    12. Miao He & Zailin Guan & Guoxiang Hou & Xiaofen Wang, 2024. "A Novel Parts-to-Picker System with Buffer Racks and Access Racks in Flexible Warehousing Systems," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
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    14. 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.
    15. Harry Geerlings & Robert Heij & Ron van Duin, 2018. "Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    16. 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.
    17. 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.
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    19. 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.
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    21. Issam AlHadid & Khalid Kaabneh & Hassan Tarawneh, 2018. "Hybrid Simulated Annealing with Meta-Heuristic Methods to Solve UCT Problem," Modern Applied Science, Canadian Center of Science and Education, vol. 12(11), pages 385-385, November.

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