Forecasting and what-if capabilities are common to modern airport management systems. Using such a system often requires the operator to have a clear idea of how the optimal solution will look like. Researchers of the DLR-Institute for Air Transport and Airport Research have now presented an approach for optimizing the entire system using automatically generated what-if runs on the recent Modeling and Simulatiom Technologies-Conference of the American Institute of Aeronautics and Astronautics (AIAA) in Denver/Colorado (5 – 9 June 2017). In their work, using a large number of what-if runs, they assessed the case of delayed trains to the airport and analysed whether, and to what extent, to delay flights to wait for passengers from delayed trains. The approach for assessing possible actions in this scenario is based on gain and loss, depending on the specific flight carta of affected flights and on costs for delaying a particular flight. Costs are included as parameters and can be customized by operators.