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.

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Keywords Netherlands, duty selection, operations research methods, railway crew scheduling
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Series ERIM Top-Core Articles , Econometric Institute Reprint Series
Journal Transportation Science
Potthoff, D, Huisman, D, & Desaulniers, G. (2010). Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling. Transportation Science, 44(4), 493–505. doi:10.1287/trsc.1100.0322