A Real-Time Decision-Support Tool for the Integrated Airline Recovery using a Machine Learning Approach

Airlines frequently deal with unexpected disruptions, which have to be resolved in order to resume their operations again. Decision-support tools help airlines with disruption management. However, long computational times are associated with integrated recovery models that compute globally optimal solutions, which makes these tools unfit for...

Air Freighter Schedule Planning: A Dynamic Programming Optimisation Approach

Margins for cargo airlines that were already thin have been put further under pressure, which stresses the importance of operating a profitable schedule. Research on modelling passenger operations has proven that integrating different steps in the schedule planning process can yield a significant increase in profit. For cargo operations no...

Cockpit Crew Transition Planning Optimisation

Pilots are an important asset in the operations of airlines, as with insufficient pilots, an airline cannot operate the planned schedule. The long-term crew planning problem aims to optimally plan the supply and demand for pilots as well as methods and strategies for closing the gap between these. The demand is determined by the number of pilots...

Airline reserve crew pairing optimisation

In an operational airline environment, disturbances to the planned flight schedule cannot be avoided. In the case of crew absences, airlines can employ reserve crews to cover open positions in crew schedules. The airline reserve crew pairing problem is concerned with the determination of optimal airline reserve crew patterns, which are defined...