Improved scheduling in production companies sometimes bears enormous potential. Production-, order-, and machine data are usually available in the ERP-System of the company, but often tools and know-how for optimizing the schedule based on this data are not available. In this master thesis a simulation program was developed to simulate production processes and to test various algorithms and heuristics of scheduling. This simulation program was used to simulate some sections of Bohler-Forging's press-shop. Bohler's scheduling has been analyzed and new algorithms have been developed and evaluated by representative data. Furthermore, specific priority rules which are known from production steering, have been tested and their influence on key logistic performance indicators has been evaluated.