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Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling

Author

Listed:
  • Daniel Potthoff

    (Econometric Institute and ECOPT, Erasmus University Rotterdam, NL-3000 DR Rotterdam, The Netherlands, and Department of Logistics, Netherlands Railways, NL-3500 HA Utrecht, The Netherlands)

  • Dennis Huisman

    (Econometric Institute and ECOPT, Erasmus University Rotterdam, NL-3000 DR Rotterdam, The Netherlands, and Department of Logistics, Netherlands Railways, NL-3500 HA Utrecht, The Netherlands)

  • Guy Desaulniers

    (École Polytechnique de Montréal and GERAD, Department of Mathematics and Industrial Engineering, Montréal, Québec H3C 3AT, Canada)

Abstract

The Dutch railway network experiences about three large disruptions per day on average. In this paper, we present an algorithm to reschedule the crews when such a disruption occurs. The algorithm is based on column generation techniques combined with Lagrangian heuristics. Since the number of duties is very large in practical instances, we first define a core problem of tractable size. If some tasks remain uncovered in the solution of the core problem, we perform a neighborhood exploration to improve the solution. Computational experiments with real-life instances show that our method is capable of producing good solutions within a couple of minutes of computation time.

Suggested Citation

  • Daniel Potthoff & Dennis Huisman & Guy Desaulniers, 2010. "Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling," Transportation Science, INFORMS, vol. 44(4), pages 493-505, November.
    • Handle: RePEc:inm:ortrsc:v:44:y:2010:i:4:p:493-505
    DOI: 10.1287/trsc.1100.0322
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    References listed on IDEAS

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