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Applying Operations Research techniques to planning of train shunting

Author

Listed:
  • Lentink, R.M.
  • Fioole, P-J.
  • Kroon, L.G.
  • van 't Woudt, C.

Abstract

In this paper, we discuss a model-based algorithmic approach for supporting planners in the creation of shunt plans for passenger trains. The approach provides an example of a mathematical model and a corresponding solution approach for model based support. We introduce a four-step solution approach and we discuss how the planners are supported by this approach. Finally, we present computational results for these steps and give some suggestions for further research.

Suggested Citation

  • Lentink, R.M. & Fioole, P-J. & Kroon, L.G. & van 't Woudt, C., 2003. "Applying Operations Research techniques to planning of train shunting," ERIM Report Series Research in Management ERS-2003-094-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:1100
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    References listed on IDEAS

    as
    1. Freling, R. & Lentink, R.M. & Kroon, L.G. & Huisman, D., 2002. "Shunting of Passenger Train Units in a Railway Station," ERIM Report Series Research in Management ERS-2002-74-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Giorgio Gallo & Federico Di Miele, 2001. "Dispatching Buses in Parking Depots," Transportation Science, INFORMS, vol. 35(3), pages 322-330, August.
    3. Thomas Winter & Uwe Zimmermann, 2000. "Real-time dispatch of trams in storage yards," Annals of Operations Research, Springer, vol. 96(1), pages 287-315, November.
    4. He, Shiwei & Song, Rui & Chaudhry, Sohail S., 2000. "Fuzzy dispatching model and genetic algorithms for railyards operations," European Journal of Operational Research, Elsevier, vol. 124(2), pages 307-331, July.
    5. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
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    Cited by:

    1. Mirsad Buljubašić & Michel Vasquez & Haris Gavranović, 2018. "Two-phase heuristic for SNCF rolling stock problem," Annals of Operations Research, Springer, vol. 271(2), pages 1107-1129, December.
    2. Dennis Huisman & Leo G. Kroon & Ramon M. Lentink & Michiel J. C. M. Vromans, 2005. "Operations Research in passenger railway transportation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 467-497, November.

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    More about this item

    Keywords

    A* search; railway optimization; real world application; routing;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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