How to Treat Data by Statistical Cause-Selecting Control Charts?

Hubert Žáček

Department of Pharmaceutical Technology, Charles University in Prague, Faculty of Pharmacy in Hradec Králové, Czech Republic

Summary

Cause-selecting control charts are graphic representations of information data time series permitting to find in the studied production process directly the cause of the observed disturbance. These representations are principially equivalent to the classical control charts of the Shewhart type, but on them properly transformed data are registered instead of the original ones. The transformations have the purpose of separation of systematic effects in each operation from those in preceding operations of the same process. The practical use of cause-selecting control charts is almost as simple as that of the traditional Shewhart control charts.