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Freight railway operator timetabling and engine scheduling

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  • Bach, Lukas
  • Gendreau, Michel
  • Wøhlk, Sanne

Abstract

In this paper we consider timetable design at a European freight railway operator. The timetable is designed by choosing the time of service for customer unit train demands among a set of discrete points. These discrete points are all found within the a time-window. The objective of the model is to minimize cost while adhering to constraints regarding infrastructure usage, demand coverage, and engine availability. The model is solved by a column generation scheme where feasible engine schedules are designed in a label setting algorithm with time-dependent cost and service times.

Suggested Citation

  • Bach, Lukas & Gendreau, Michel & Wøhlk, Sanne, 2015. "Freight railway operator timetabling and engine scheduling," European Journal of Operational Research, Elsevier, vol. 241(2), pages 309-319.
    • Handle: RePEc:eee:ejores:v:241:y:2015:i:2:p:309-319
    DOI: 10.1016/j.ejor.2014.08.036
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    Cited by:

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    2. Lukas Bach & Twan Dollevoet & Dennis Huisman, 2016. "Integrating Timetabling and Crew Scheduling at a Freight Railway Operator," Transportation Science, INFORMS, vol. 50(3), pages 878-891, August.
    3. Christian Rählmann & Ulrich W. Thonemann, 2020. "Railway crew scheduling with semi-flexible timetables," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 835-862, December.
    4. Dollevoet, T.A.B. & Pecin, D. & Spliet, R., 2020. "The path programming problem and a partial path relaxation," Econometric Institute Research Papers EI-2020-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Hoogendoorn, Y.N. & Dalmeijer, K., 2021. "Resource-robust valid inequalities for set covering and set partitioning models," Econometric Institute Research Papers EI 2020-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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