There is a high degree of flexibility in the design of production systems when it comes to the selection and configuration of machines. Simulation supports this complex decision process. However, modeling various configurations in a simulation environment is very time-consuming. We present a framework that includes component-based software synthesis to generate the set of all possible simulation models for the respective planning case. From the set, feasible solutions for a simulation study are then selected using constraint solving methods. We evaluate our approach using a practical example from sheet metal production
