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AGV charging scheduling with capacitated charging stations at automated ports

Author

Listed:
  • Xing, Zheng
  • Liu, Haitao
  • Wang, Tingsong
  • Lin, Yun Hui
  • Chew, Ek Peng
  • Tan, Kok Choon
  • Li, Haobin

Abstract

With technological advancements and a growing focus on environmental sustainability, battery-powered automated guided vehicles (AGVs) have gained widespread adoption in automated container ports. Consequently, the scheduling of AGV charging has emerged as a crucial issue. However, research on AGV charging in the context of automated ports is limited, often neglecting the interactions between different types of equipment such as quay cranes (QCs) and yard cranes (YCs). Additionally, the limited capacity of charging stations (CSs) is often overlooked. We investigate an AGV charging scheduling problem with capacitated CSs, to minimize the operation time of AGVs for completing given discharging and loading tasks. We use a path-based method to formulate the problem as a mixed integer programming model. Also, a matheuristic framework combining mathematical models with heuristics is developed to address the considered problem. Numerical results based on small-scale and large-scale instances demonstrate the effectiveness of the proposed method. We find that some measures, namely a flexible charging policy and broader container distribution, can lead to reduced AGV total operation time and task makespan.

Suggested Citation

  • Xing, Zheng & Liu, Haitao & Wang, Tingsong & Lin, Yun Hui & Chew, Ek Peng & Tan, Kok Choon & Li, Haobin, 2025. "AGV charging scheduling with capacitated charging stations at automated ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:transe:v:197:y:2025:i:c:s1366554525001218
    DOI: 10.1016/j.tre.2025.104080
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    References listed on IDEAS

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    1. 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).
    2. Chenhao Zhou & Aloisius Stephen & Kok Choon Tan & Ek Peng Chew & Loo Hay Lee, 2024. "Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals," Transportation Science, INFORMS, vol. 58(3), pages 664-683, May.
    3. Juho Andelmin & Enrico Bartolini, 2017. "An Exact Algorithm for the Green Vehicle Routing Problem," Transportation Science, INFORMS, vol. 51(4), pages 1288-1303, November.
    4. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2019. "The electric vehicle routing problem with energy consumption uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 225-255.
    5. Artigues, Christian & Michelon, Philippe & Reusser, Stephane, 2003. "Insertion techniques for static and dynamic resource-constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 149(2), pages 249-267, September.
    6. Roberti, R. & Wen, M., 2016. "The Electric Traveling Salesman Problem with Time Windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 32-52.
    7. Ebru K. Bish & Thin‐Yin Leong & Chung‐Lun Li & Jonathan W. C. Ng & David Simchi‐Levi, 2001. "Analysis of a new vehicle scheduling and location problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(5), pages 363-385, August.
    8. 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).
    9. 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.
    10. Chen, Lu & Bostel, Nathalie & Dejax, Pierre & Cai, Jianguo & Xi, Lifeng, 2007. "A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal," European Journal of Operational Research, Elsevier, vol. 181(1), pages 40-58, August.
    11. Aurélien Froger & Ola Jabali & Jorge E. Mendoza & Gilbert Laporte, 2022. "The Electric Vehicle Routing Problem with Capacitated Charging Stations," Transportation Science, INFORMS, vol. 56(2), pages 460-482, March.
    12. 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).
    13. 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.
    14. 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.
    15. Tang, Lixin & Zhao, Jiao & Liu, Jiyin, 2014. "Modeling and solution of the joint quay crane and truck scheduling problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 978-990.
    16. Jie Zhang & Yifan Zhu & Xiaobo Li & Mengjun Ming & Weiping Wang & Tao Wang, 2022. "Multi-Trip Time-Dependent Vehicle Routing Problem with Split Delivery," Mathematics, MDPI, vol. 10(19), pages 1-24, September.
    17. Montoya, Alejandro & Guéret, Christelle & Mendoza, Jorge E. & Villegas, Juan G., 2017. "The electric vehicle routing problem with nonlinear charging function," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 87-110.
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