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Approaches to modeling train scheduling problems as job-shop problems with blocking constraints

Author

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  • Julia Lange

    (Otto-von-Guericke-University Magdeburg)

  • Frank Werner

    (Otto-von-Guericke-University Magdeburg)

Abstract

The problem of scheduling a set of trains traveling through a given railway network consisting of single tracks, sidings and stations is considered. For every train a fixed route and travel times, an earliest departure time at the origin and a desired arrival time at the destination are given. A feasible schedule has to be determined which minimizes total tardiness of all trains at their destinations. This train scheduling problem is modeled as a job-shop scheduling problem with blocking constraints, where jobs represent trains and machines constitute tracks or track sections. Four MIP formulations without time-indexed variables are developed based on two different transformation approaches of parallel tracks and two different types of decision variables leading to job-shop scheduling problems with or without routing flexibility. A computational study is made on hard instances with up to 20 jobs and 11 machines to compare the MIP models in terms of total tardiness values, formulation size and computation time.

Suggested Citation

  • Julia Lange & Frank Werner, 2018. "Approaches to modeling train scheduling problems as job-shop problems with blocking constraints," Journal of Scheduling, Springer, vol. 21(2), pages 191-207, April.
    • Handle: RePEc:spr:jsched:v:21:y:2018:i:2:d:10.1007_s10951-017-0526-0
    DOI: 10.1007/s10951-017-0526-0
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    Cited by:

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    3. Meloni, Carlo & Pranzo, Marco & Samà, Marcella, 2022. "Evaluation of VaR and CVaR for the makespan in interval valued blocking job shops," International Journal of Production Economics, Elsevier, vol. 247(C).
    4. Aliakbari, Mina & Geunes, Joseph & Ghahari, Amir & Prince, Mike, 2024. "Freight railcar-to-train assignment and departure scheduling in a railyard," European Journal of Operational Research, Elsevier, vol. 314(3), pages 950-962.
    5. Mogali, Jayanth Krishna & Barbulescu, Laura & Smith, Stephen F., 2021. "Efficient primal heuristic updates for the blocking job shop problem," European Journal of Operational Research, Elsevier, vol. 295(1), pages 82-101.
    6. Evgeny Gafarov & Frank Werner, 2019. "Two-Machine Job-Shop Scheduling with Equal Processing Times on Each Machine," Mathematics, MDPI, vol. 7(3), pages 1-11, March.
    7. Jayanth Krishna Mogali & Joris Kinable & Stephen F. Smith & Zachary B. Rubinstein, 2021. "Scheduling for multi-robot routing with blocking and enabling constraints," Journal of Scheduling, Springer, vol. 24(3), pages 291-318, June.

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