Currently, yield enhancement and APC (advanced process control) systems operate independently within the manufacturing process. Yield enhancement has several requirements such as the root cause analysis of yield loss, the reliability of defect density data, and the demand for a link between yield models and APC. For root cause studies chemical analysis uses different preparation techniques to describe the nature and location of contamination or defect densities, e.g. copper bulk contamination or wafer edge effects. The reliability of defect density data and the matching of defect inspection tools improve by the reduction of noise. In combination with a process model this is the prerequisite to set up a random defect-based yield scenario which describes single processes. The combination of this scenario with methods for data acquisition and tracking from APC enhances the prediction of yield.