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Integrated automated guided vehicle dispatching and equipment scheduling with speed optimization

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  • Xing, Zheng
  • Liu, Haitao
  • Wang, Tingsong
  • Chew, Ek Peng
  • Lee, Loo Hay
  • Tan, Kok Choon

Abstract

The loading and unloading processes at quay and yard cranes are often studied separately, despite that integrated scheduling of the two processes could benefit in improving productivity and increasing profit. We consider an automated container terminal, in which the discharging and loading tasks at quay and yard cranes are fulfilled by a homogeneous fleet of automated guided vehicles (AGVs), and the traveling speed of AGVs can be adjusted. We formulate the problem into a mixed integer programming model that minimizes the total makespan of cranes and energy consumption of AGVs simultaneously. To address the problem, we develop a three-phase approach, where the problem is firstly reformulated as a digraph, and then a adjusting heuristic and a branch-and-bound procedure are used to optimize the assignment of tasks to AGVs and yard cranes. After the aforementioned two steps, the speed optimization process is executed to obtain the final schedule. Numerical results demonstrate the efficiency and effectiveness of the proposed approach and also justify the value of taking account of the AGVs speed optimization.

Suggested Citation

  • Xing, Zheng & Liu, Haitao & Wang, Tingsong & Chew, Ek Peng & Lee, Loo Hay & Tan, Kok Choon, 2023. "Integrated automated guided vehicle dispatching and equipment scheduling with speed optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:transe:v:169:y:2023:i:c:s1366554522003702
    DOI: 10.1016/j.tre.2022.102993
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    1. Zhou, Chenhao & Lee, Byung Kwon & Li, Haobin, 2020. "Integrated optimization on yard crane scheduling and vehicle positioning at container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    2. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    3. 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.
    4. Hu, Yue & Yang, Hongbing & Huang, Yi, 2022. "Conflict-free scheduling of large-scale multi-load AGVs in material transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    5. Xiao, Yiyong & Zuo, Xiaorong & Huang, Jiaoying & Konak, Abdullah & Xu, Yuchun, 2020. "The continuous pollution routing problem," Applied Mathematics and Computation, Elsevier, vol. 387(C).
    6. Tommaso Adamo & Tolga Bektaş & Gianpaolo Ghiani & Emanuela Guerriero & Emanuele Manni, 2018. "Path and Speed Optimization for Conflict-Free Pickup and Delivery Under Time Windows," Transportation Science, INFORMS, vol. 52(4), pages 739-755, August.
    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. Anna Franceschetti & Dorothée Honhon & Gilbert Laporte & Tom Van Woensel, 2018. "A Shortest-Path Algorithm for the Departure Time and Speed Optimization Problem," Transportation Science, INFORMS, vol. 52(4), pages 756-768, August.
    9. Martin Grunow & Hans-Otto Günther & Matthias Lehmann, 2007. "Strategies for dispatching AGVs at automated seaport container terminals," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 155-178, Springer.
    10. 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.
    11. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2012. "An adaptive large neighborhood search heuristic for the Pollution-Routing Problem," European Journal of Operational Research, Elsevier, vol. 223(2), pages 346-359.
    12. Luo, Jiabin & Wu, Yue, 2015. "Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 49-64.
    13. Iris, Çağatay & Pacino, Dario & Ropke, Stefan & Larsen, Allan, 2015. "Integrated Berth Allocation and Quay Crane Assignment Problem: Set partitioning models and computational results," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 75-97.
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    Cited by:

    1. Vallada, Eva & Belenguer, Jose Manuel & Villa, Fulgencia & Alvarez-Valdes, Ramon, 2023. "Models and algorithms for a yard crane scheduling problem in container ports," European Journal of Operational Research, Elsevier, vol. 309(2), pages 910-924.
    2. Wang, Huiwen & Yi, Wen & Zhen, Lu, 2024. "Optimal policy for scheduling automated guided vehicles in large-scale intelligent transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Li, Kunpeng & Liu, Tengbo & Ram Kumar, P.N. & Han, Xuefang, 2024. "A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).

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