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An iterative improvement approach for high-speed train maintenance scheduling

Author

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  • Lin, Boliang
  • Shen, Yaoming
  • Wang, Zhongkai
  • Ni, Shaoquan
  • Zhao, Yinan

Abstract

The high-level maintenance plan is the train-set overhaul arrangement that is scheduled annually and manually in China. Previous studies have investigated this issue based on deterministic daily mileages. However, future daily mileages are difficult to predict, which may cause existing plans to be inaccurate and unfeasible in practice. Therefore, this study only considers the historical daily mileages as raw inputs, and the future daily mileages are considered as ranges to generate wider maintenance time windows for train-sets. Subsequently, a 0–1 integer linear programming model for high-level maintenance scheduling is formulated. After obtaining a high-level maintenance plan, the planned daily mileages of all train-sets are calculated and verified. To make all planned daily mileages feasible, we design an iterative algorithm to adjust the time windows and update the plan. A real-world case study is conducted using the data of 124 CRH2 EMU train-sets belonging to China Railway Shanghai Group to prove the effectiveness of the model and the algorithm. The commercial solver Gurobi is used to solve this case. A program supporting high-level maintenance scheduling has been developed, and it has been used by planners for testing.

Suggested Citation

  • Lin, Boliang & Shen, Yaoming & Wang, Zhongkai & Ni, Shaoquan & Zhao, Yinan, 2023. "An iterative improvement approach for high-speed train maintenance scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 292-312.
    • Handle: RePEc:eee:transb:v:173:y:2023:i:c:p:292-312
    DOI: 10.1016/j.trb.2023.05.008
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    References listed on IDEAS

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    1. Zhong, Qingwei & Lusby, Richard M. & Larsen, Jesper & Zhang, Yongxiang & Peng, Qiyuan, 2019. "Rolling stock scheduling with maintenance requirements at the Chinese High-Speed Railway," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 24-44.
    2. Lin, Boliang & Wu, Jianping & Lin, Ruixi & Wang, Jiaxi & Wang, Hui & Zhang, Xuhui, 2019. "Optimization of high-level preventive maintenance scheduling for high-speed trains," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 261-275.
    3. Frisch, Sarah & Hungerländer, Philipp & Jellen, Anna & Primas, Bernhard & Steininger, Sebastian & Weinberger, Dominic, 2021. "Solving a real-world Locomotive Scheduling Problem with Maintenance Constraints," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 386-409.
    4. Richard Freling & Ramon M. Lentink & Leo G. Kroon & Dennis Huisman, 2005. "Shunting of Passenger Train Units in a Railway Station," Transportation Science, INFORMS, vol. 39(2), pages 261-272, May.
    5. Joris C. Wagenaar & Leo G. Kroon & Marie Schmidt, 2017. "Maintenance Appointments in Railway Rolling Stock Rescheduling," Transportation Science, INFORMS, vol. 51(4), pages 1138-1160, November.
    6. Lin, Boliang & Zhao, Yinan, 2021. "Synchronized optimization of EMU train assignment and second-level preventive maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Jian Li & Boliang Lin & Zhongkai Wang & Lei Chen & Jiaxi Wang, 2016. "A Pragmatic Optimization Method for Motor Train Set Assignment and Maintenance Scheduling Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-13, March.
    8. Cheng, Yung-Hsiang & Tsao, Hou-Lei, 2010. "Rolling stock maintenance strategy selection, spares parts' estimation, and replacements' interval calculation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 404-412, November.
    9. Ralf Borndörfer & Markus Reuther & Thomas Schlechte & Kerstin Waas & Steffen Weider, 2016. "Integrated Optimization of Rolling Stock Rotations for Intercity Railways," Transportation Science, INFORMS, vol. 50(3), pages 863-877, August.
    10. Tönissen, D.D. & Arts, J.J., 2020. "The stochastic maintenance location routing allocation problem for rolling stock," International Journal of Production Economics, Elsevier, vol. 230(C).
    11. Lingaya, Norbert & Cordeau, Jean-Françcois & Desaulniers, Guy & Desrosiers, Jacques & Soumis, Françcois, 2002. "Operational car assignment at VIA Rail Canada," Transportation Research Part B: Methodological, Elsevier, vol. 36(9), pages 755-778, November.
    12. Tönissen, D.D. & Arts, J.J., 2018. "Economies of scale in recoverable robust maintenance location routing for rolling stock," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 360-377.
    13. Gao, Yuan & Xia, Jun & D’Ariano, Andrea & Yang, Lixing, 2022. "Weekly rolling stock planning in Chinese high-speed rail networks," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 295-322.
    14. Gábor Maróti & Leo Kroon, 2005. "Maintenance Routing for Train Units: The Transition Model," Transportation Science, INFORMS, vol. 39(4), pages 518-525, November.
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