In production planning and control, decision support has to face the special properties of production processes and systems. To find an optimal solution for decision problems in this domain is usually np-hard and a proper definition of objective functions and constraints is extremely difficult. One reason for the problem of proper model definition for classical optimization methods is the individual character of production systems. Thus, in many cases only individual solutions for PPC offer satisfying results. In this paper, we introduce a framework for efficient implementation of PPC tools in serial manufacturing.