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Statistical process control (SPC) charts are useful in monitoring a process. However, the typical Shewhart control charts are insensitive in detecting small process shifts. This would require more samples to detect the process disturbances. Consequently, the search for the root causes of the disturbances may need more time, and the process improvement may take longer. One useful solution for this...
Because of advanced technology, there are many aspects of quality characteristics in a product. Typical univariate statistical process control ( SPC) charts may not be suitable for monitoring processes that have multiple quality characteristics. As a consequence, the multivariate control charts are developed to simultaneously monitor multiple quality characteristics of a process. Like the function...
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