Adaptive model controllers are promising candidates for extending DSS for dynamic process planning problems. They are designed to feed back variations of model assumptions about the severity of a process control problem to the model base during the process control phase. Using image modification, this class of process controller is able to reflect the altered assumptions into the maintained process control logic. Thus, a synchronization of the process control problem with the maintained internal process control problem description becomes possible.