Abstract
On the day of operations delays frequently forces the operations control of an airline to recover resource schedules by mostly expensive recovery actions. Regarding this difficulty robust scheduling deals with the construction of schedules which are less affected by disruptions or provide possibilities for low-cost recovery actions. To measure the degree of robustness of schedules, a simulation framework with enabled recovery actions is needed. In this paper we present a comparison of re-optimization and rule-based recovery approaches.
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