Recoverable Robustness for Railway Rolling Stock Planning

  title={Recoverable Robustness for Railway Rolling Stock Planning},
  author={Valentina Cacchiani and Alberto Caprara and Laura Galli and Leo G. Kroon and G{\'a}bor Mar{\'o}ti},
In this paper we explore the possibility of applying the notions of Recoverable Robustness and Price of Recoverability (introduced by [5]) to railway rolling stock planning, being interested in recoverability measures that can be computed in practice, thereby evaluating the robustness of rolling stock schedules. In order to lower bound the Price of Recoverability for any set of recovery algorithms, we consider an “optimal” recovery algorithm and propose a Benders decomposition approach to… CONTINUE READING

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