Airlines schedules are built such as to maximize expected profit. Such schedules turn out to be more sensitive to delay propagation and have lower on-time performance. Robust schedules are thus used instead. In this paper, we compare two different approaches to derive robust schedules, being either based on historical data or not. We show how the way historical data is considered affects the solutions quality.