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An uncertainty-aware AGV assignment algorithm for automated container terminals

Author

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  • Angeloudis, Panagiotis
  • Bell, Michael G.H.

Abstract

This paper studies job assignments for automated guided in container terminal settings under various conditions of uncertainty. An introduction to their operation is provided, along with a flexible dispatching algorithm, suitable for real-time control of AGVs. Using these concepts a new AGV dispatching approach is developed, capable of operating under uncertain conditions within a detailed container terminal model. Several performance indicators are presented, focused on generic features of vehicle operations as well the assessment of uncertainty levels inside the terminal. From the results of the simulation experiments, it is found that the proposed technique outperforms well known heuristics and alternative algorithms.

Suggested Citation

  • Angeloudis, Panagiotis & Bell, Michael G.H., 2010. "An uncertainty-aware AGV assignment algorithm for automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 354-366, May.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:3:p:354-366
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    Citations

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    Cited by:

    1. Zhongbin Zhao & Xifu Wang & Suxin Cheng & Wei Liu & Lijun Jiang, 2022. "A New Synchronous Handling Technology of Double Stack Container Trains in Sea-Rail Intermodal Terminals," Sustainability, MDPI, vol. 14(18), pages 1, September.
    2. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    3. 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.
    4. 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.
    5. Kress, Dominik & Meiswinkel, Sebastian & Pesch, Erwin, 2019. "Straddle carrier routing at seaport container terminals in the presence of short term quay crane buffer areas," European Journal of Operational Research, Elsevier, vol. 279(3), pages 732-750.
    6. Li, Kevin X. & Li, Mengchi & Zhu, Yuhan & Yuen, Kum Fai & Tong, Hao & Zhou, Haoqing, 2023. "Smart port: A bibliometric review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    7. Chen, Wanying (Amanda) & De Koster, René B.M. & Gong, Yeming, 2021. "Performance evaluation of automated medicine delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    8. Xiyan Zheng & Chengji Liang & Yu Wang & Jian Shi & Gino Lim, 2022. "Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach," Mathematics, MDPI, vol. 10(23), pages 1-19, December.
    9. Ping Lou & Yutong Zhong & Jiwei Hu & Chuannian Fan & Xiao Chen, 2023. "Digital-Twin-Driven AGV Scheduling and Routing in Automated Container Terminals," Mathematics, MDPI, vol. 11(12), pages 1-25, June.
    10. Marie-Laure Espinouse & Grzegorz Pawlak & Malgorzata Sterna, 2017. "Complexity of Scheduling Problem in Single-Machine Flexible Manufacturing System with Cyclic Transportation and Unlimited Buffers," Journal of Optimization Theory and Applications, Springer, vol. 173(3), pages 1042-1054, June.
    11. Wei, Xiaoyang & Jia, Shuai & Meng, Qiang & Tan, Kok Choon, 2020. "Tugboat scheduling for container ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    12. Vitalii Naumov & Daniel Kubek & Paweł Więcek & Iwona Skalna & Jerzy Duda & Robert Goncerz & Tomasz Derlecki, 2021. "Optimizing Energy Consumption in Internal Transportation Using Dynamic Transportation Vehicles Assignment Model: Case Study in Printing Company," Energies, MDPI, vol. 14(15), pages 1-22, July.
    13. Li, Linman & Li, Yuqing & Liu, Ran & Zhou, Yaoming & Pan, Ershun, 2023. "A Two-stage Stochastic Programming for AGV scheduling with random tasks and battery swapping in automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).

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