A REVIEW AND ANALYSIS OF CAUSE-SELECTING CONTROL CHARTS

Cause-selecting control charts use incoming quality measurements and o ut-going quality measurements in an attempt to distinguish between in- coming quality problems and problems in the current operation of a man ufacturing process. We examine the assumptions underlying this useful type of chart and its relationship with the multivariate T2 chart. We propose using prediction limits with cause-selecting charts to improve their statistical performance.