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Joint Configuration and Scheduling Optimization of a Dual-Trolley Quay Crane and Automatic Guided Vehicles with Consideration of Vessel Stability

Author

Listed:
  • Lijun Yue

    (Department of Transportation engineering, Dalian Maritime University, Dalian 116026, China)

  • Houming Fan

    (Department of Transportation engineering, Dalian Maritime University, Dalian 116026, China)

  • Chunxin Zhai

    (Department of Transportation engineering, Dalian Maritime University, Dalian 116026, China)

Abstract

This study proposes a formulation to optimize operational efficiency of a dual-trolley quay crane and automatic guided vehicles (AGVs) to reduce energy consumption at an automated container terminal. A two-phase model is used to minimize energy consumption during loading and discharging operations, as well as maximize the utilization rate of the AGVs, with consideration of relevant constraints such as the capacity of buffers for the quay crane (QC) and yard, the stability of vessel, the maximum endurance of an AGV, and the available laytime for handling. We propose a constrained partial enumeration strategy to construct quay crane schedules and a genetic algorithm to solve the AGV scheduling problem. Finally, Yangshan Phase IV automated container terminal’s data is used to verify the validity and applicability of the proposed model. The results of the tests provide evidence that the proposed method can improve energy efficiency.

Suggested Citation

  • Lijun Yue & Houming Fan & Chunxin Zhai, 2019. "Joint Configuration and Scheduling Optimization of a Dual-Trolley Quay Crane and Automatic Guided Vehicles with Consideration of Vessel Stability," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:24-:d:299402
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    References listed on IDEAS

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    1. Yun Peng & Wenyuan Wang & Ke Liu & Xiangda Li & Qi Tian, 2018. "The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    2. Noura Al-Dhaheri & Ali Diabat, 2017. "A Lagrangian relaxation-based heuristic for the multi-ship quay crane scheduling problem with ship stability constraints," Annals of Operations Research, Springer, vol. 248(1), pages 1-24, January.
    3. Kim, Kap Hwan & Park, Young-Man, 2004. "A crane scheduling method for port container terminals," European Journal of Operational Research, Elsevier, vol. 156(3), pages 752-768, August.
    4. Kap Hwan Kim & Jong Wook Bae, 2004. "A Look-Ahead Dispatching Method for Automated Guided Vehicles in Automated Port Container Terminals," Transportation Science, INFORMS, vol. 38(2), pages 224-234, May.
    5. Lee, Der-Horng & Wang, Hui Qiu & Miao, Lixin, 2008. "Quay crane scheduling with non-interference constraints in port container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 124-135, January.
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    Cited by:

    1. Hang Yu & Yiyun Deng & Leijie Zhang & Xin Xiao & Caimao Tan, 2022. "Yard Operations and Management in Automated Container Terminals: A Review," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    2. Agnieszka A. Tubis & Honorata Poturaj, 2022. "Risk Related to AGV Systems—Open-Access Literature Review," Energies, MDPI, vol. 15(23), pages 1-23, November.

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