In course of this master thesis, a new model for order dispatching of customer orders in automated warehouses is created. The model is built in cooperation with the department of product management at KNAPP Systemintegration. By considering additional capacities compared to the current order dispatching model, the new model aims to achieve a more constant utilization of these capacities than before. In addition to backward termination, that is used in the currently applied model, the newly developed order dispatching model implements the concept of workload control. The workload control model origins from make-to-order manufacturing. By converting the workload control model to picking processes, orders pass through three phases for order review and release until they are released into the picking area. This approach allows customer orders to be released in a controlled manner, taking into account the current workload as well as the available capacity during the picking process. In this thesis, the new order dispatching model is created using a picking system with three picking areas. Using Python, a simulation is built to show that the new order dispatching model delivers good results in order processing. By using another Python simulation, it is shown that the model extended by workload control can deliver more than ten percent more orders in time than the currently used model.