Our effective methodology includes statistical techniques, stochastic and machine-based optimisation (e.g. evolutionary multi-objective optimisation), macro- and microeconomic analyses as well as modelling and simulation of aviation processes in the air and on the ground. Approaches from the area of artificial intelligence and machine learning are also applied to complex processes surrounding aviation operations (GANNs, Reinforcement -NN), as we develop computer supported simulation models and research new methods within the field.

The dynamics of passenger flows, capacity management and analysis, delay propagation, revenue management, hub-and-spoke load balancing, network analyses and simulation of baggage processes are among the many processes analysed within our projects.