An advanced process state testing technique is described. It combines the Neyman-Person approach to statistical analysis and the Taguchi loss function approach to quality assessment.
The technique results in significant reduction of the risk of adjustment errors compared with conventional (Sewhart charts) method. A software module supporting the suggested technique is available as, an option, considerably increasing the efficiency the automated process control by feedback adjustment.