Abstract
A time-weighted multivariate control chart for individual observations is introduced to monitor process variability changes in multiple quality characteristics in phase II applications. Because of adaptive adjustments, the proposed control chart is sensitive to total variation increase in a multivariate manufacturing process. A new visualization tool, named adaptive EWMS star glyphs, is proposed for process diagnosis once an out-of-control signal is found. An example is presented to illustrate the application of the proposed charting procedure.
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