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Multi-attribute assignment of trains to departures in rolling stock management

Author

Listed:
  • Martin Josef Geiger

    (Helmut Schmidt University, University of the Federal Armed Forces)

  • Sandra Huber

    (Helmut Schmidt University, University of the Federal Armed Forces)

  • Sebastian Langton

    (Helmut Schmidt University, University of the Federal Armed Forces)

  • Marius Leschik

    (Helmut Schmidt University, University of the Federal Armed Forces)

  • Christian Lindorf

    (Helmut Schmidt University, University of the Federal Armed Forces)

  • Ulrich Tüshaus

    (Helmut Schmidt University, University of the Federal Armed Forces)

Abstract

The article describes our findings on the EURO/ROADEF 2014 Challenge problem. Several heuristic solution techniques have been implemented in a prototypical system for rolling stock management. First, the assignment of trains to departures is supported by a multi-attribute priority rule, for which extensive experiments have been conducted. The subsequent scheduling problem is then solved by a heuristic routing and scheduling concept. The feasibility of solutions is ensured by adopting a transaction model known from database programming to the scheduling problem domain. Besides our contributions to the solution of the optimization problem, a decision support system has been build that visualizes the movements of convoys in the network. Moreover, we make the source code of our optimization approach available with this article: doi: 10.17632/nc642wfw2k.1 .

Suggested Citation

  • Martin Josef Geiger & Sandra Huber & Sebastian Langton & Marius Leschik & Christian Lindorf & Ulrich Tüshaus, 2018. "Multi-attribute assignment of trains to departures in rolling stock management," Annals of Operations Research, Springer, vol. 271(2), pages 1131-1163, December.
    • Handle: RePEc:spr:annopr:v:271:y:2018:i:2:d:10.1007_s10479-017-2501-8
    DOI: 10.1007/s10479-017-2501-8
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    Cited by:

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