Flight timetabling can greatly impact an airline's operating profit, yet data-driven or model-based solutions to support it remain limited. Timetabling optimization is significantly complicated by two factors. First, it exhibits strong interdependencies with subsequent fleet assignment decisions...

We develop an efficient matheuristic algorithm for the Aircraft Landing Problem (ALP). The ALP aims to schedule aircraft landings such that the total deviation from target arrival times is minimized. We propose a Relax-and-Solve (R&S) algorithm that operates by performing a set of "relax" and...

Airlines constantly face disruptions caused by external or internal factors like extreme weather conditions, unavailability of crew members, aircraft breakdowns, or airspace capacity shortages. These disruptions prevent the execution of the schedule. Significant research has been devoted to both...