The master thesis is about testing the effectiveness of the Airport demand management strategies. Based on the problem of increasing pressure on airport capacity, due to the increase of the demand on flying. The goal is to find a system which supports planning of air traffic control by generating knowledge about the throughput of arrivals. A Discrete Event Simulation approach is used to simulate the behaviour of arrivals in case of capacity issues. The model uses random generated slot allocated schedules to test the effectiveness of several strategies. Eventually the result of the strategies is presented in an optimum ratio between delays and cancellations of the tested strategies. The main conclusion of the research is that the model is capable of testing the effectiveness of airport demand management strategies. It also provides knowledge on expected bottlenecks of the arrival operations by generating the average delay per hour and queue propagation for each strategy.