In highly utilized rail networks disruptions can quickly have great impact. Dealing immediately with disruptions is important to maintain satisfactory operation level. In this research, we model single wagonload networks and optimize the routing of wagons when a disruption occurs. In particular, wagons can be reassigned to different trains and trains could be rerouted, while minimizing routing costs and delay. The model performance is demonstrated in real life German rail network. A simulation is used that stochastically trigger disruptions. Wagon routing is then optimized while considering the current state of the network. The proposed model enables to evaluate the impact of disruptions on networks and supports dispatchers to optimize real-time network operation performance.