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Train maintenance personnel shift scheduling: case study

Author

Listed:
  • Muhammed Abdullah Gençer

    (Kırıkkale University)

  • Tamer Eren

    (Kırıkkale University)

  • Hacı Mehmet Alakaş

    (Kırıkkale University)

Abstract

In this study, the shift scheduling problem of the personnel who maintain the 324 trains operating on the lines of the Ankara Metro, which carry approximately 10 million passengers per month, is discussed. In the problem, daily personnel needs and personnel qualifications are evaluated together according to the fault prediction. Firstly, a total of 1721 fault data for 181 days is analyzed, and the prediction is made according to 8 prediction methods. Then, a 30-day fault prediction is made with the prediction method, which has the least error rate. According to the number of faults obtained as a result of the prediction, the daily personnel requirement is determined. Then, according to the type of fault, the personnel are classified as electronics, electromechanics, and mechanics. It is aimed at distributing the personnel evenly to the shifts. The goal programming model is used to solve the problem, allowing us to add more than one goal to the model. When the solution results of the problem are compared with the current schedule, it is seen that the monthly total working hours are distributed equally, and the shifts are distributed fairly, and a necessary balance is achieved in the shifts according to the personnel qualifications. It is thought that this study, in which personnel qualifications and fault prediction are evaluated together, will contribute to the literature on railway maintenance personnel scheduling.

Suggested Citation

  • Muhammed Abdullah Gençer & Tamer Eren & Hacı Mehmet Alakaş, 2024. "Train maintenance personnel shift scheduling: case study," Flexible Services and Manufacturing Journal, Springer, vol. 36(2), pages 533-566, June.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:2:d:10.1007_s10696-023-09495-w
    DOI: 10.1007/s10696-023-09495-w
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    References listed on IDEAS

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    1. De Bruecker, Philippe & Beliën, Jeroen & Van den Bergh, Jorne & Demeulemeester, Erik, 2018. "A three-stage mixed integer programming approach for optimizing the skill mix and training schedules for aircraft maintenance," European Journal of Operational Research, Elsevier, vol. 267(2), pages 439-452.
    2. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "A model enhancement heuristic for building robust aircraft maintenance personnel rosters with stochastic constraints," European Journal of Operational Research, Elsevier, vol. 246(2), pages 661-673.
    3. Shahrzad M. Pour & Kourosh Marjani Rasmussen & John H. Drake & Edmund K. Burke, 2019. "A constructive framework for the preventive signalling maintenance crew scheduling problem in the Danish railway system," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(11), pages 1965-1982, November.
    4. M. Pour, Shahrzad & Drake, John H. & Ejlertsen, Lena Secher & Rasmussen, Kourosh Marjani & Burke, Edmund K., 2018. "A hybrid Constraint Programming/Mixed Integer Programming framework for the preventive signaling maintenance crew scheduling problem," European Journal of Operational Research, Elsevier, vol. 269(1), pages 341-352.
    5. Li, Yulong & Zhang, Chi & Jia, Chuanzhou & Li, Xiaodong & Zhu, Yimin, 2019. "Joint optimization of workforce scheduling and routing for restoring a disrupted critical infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    6. Ashish K. Nemani & Suat Bog & Ravindra K. Ahuja, 2010. "Solving the Curfew Planning Problem," Transportation Science, INFORMS, vol. 44(4), pages 506-523, November.
    7. Chia-Hung Chen & Shangyao Yan & Miawjane Chen, 2010. "Short-term manpower planning for MRT carriage maintenance under mixed deterministic and stochastic demands," Annals of Operations Research, Springer, vol. 181(1), pages 67-88, December.
    8. Peng, Fan & Ouyang, Yanfeng, 2012. "Track maintenance production team scheduling in railroad networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1474-1488.
    9. Huisman, Dennis, 2007. "A column generation approach for the rail crew re-scheduling problem," European Journal of Operational Research, Elsevier, vol. 180(1), pages 163-173, July.
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