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Electric multiple unit circulation plan optimization based on the branch-and-price algorithm under different maintenance management schemes

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  • Wenjun Li
  • Lei Nie
  • Tianwei Zhang

Abstract

For railway operators, one of many important goals is to improve the utilization efficiency of electric multiple units (EMUs). When operators design EMU circulation plans, EMU type restrictions are critical factors when assigning EMUs to the correct depots for maintenance. However, existing studies only consider that EMUs are maintained at their home depots. However, targeting that problem, in this paper, an optimization model for the EMU circulation planning problem that allows depots to be selected for EMU maintenance is proposed. This model aims at optimizing the number of used EMUs and the number of EMU maintenance tasks and simultaneously incorporates other important constraints, including type restrictions, on EMU maintenance and night accommodation capacity at depots. In order to solve the model, a branch-and-price algorithm is also developed. A case study of a real-world high-speed railway was conducted to compare and analyze the effects of different maintenance location constraints. The results show that the number of EMUs used will decrease under the maintenance sharing scheme, the number of EMU maintenance tasks can be reduced, and the time occupied in EMU maintenance will be released. In addition, the scheme of maintenance resources sharing and increases to mileage limits can effectively decrease the number of EMU maintenance tasks significantly. The model and algorithm can be used as an effective quantitative analysis tool for railway operators' decision-making processes in the EMU circulation planning problem.

Suggested Citation

  • Wenjun Li & Lei Nie & Tianwei Zhang, 2018. "Electric multiple unit circulation plan optimization based on the branch-and-price algorithm under different maintenance management schemes," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    • Handle: RePEc:plo:pone00:0199910
    DOI: 10.1371/journal.pone.0199910
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    References listed on IDEAS

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    1. Valentina Cacchiani & Alberto Caprara & Laura Galli & Leo Kroon & Gábor Maróti & Paolo Toth, 2012. "Railway Rolling Stock Planning: Robustness Against Large Disruptions," Transportation Science, INFORMS, vol. 46(2), pages 217-232, May.
    2. Hong, Sung-Pil & Kim, Kyung Min & Lee, Kyungsik & Hwan Park, Bum, 2009. "A pragmatic algorithm for the train-set routing: The case of Korea high-speed railway," Omega, Elsevier, vol. 37(3), pages 637-645, June.
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    Cited by:

    1. Ming He & Qiuhua Tang & Jatinder N. D. Gupta & Di Yin & Zikai Zhang, 2023. "The shunting scheduling of EMU first-level maintenance in a stub-end depot," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 754-796, September.
    2. Wenjun Li & Peng Liu, 2022. "EMU Route Plan Optimization by Integrating Trains from Different Periods," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

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