Control chart pattern recognition using average of cumulative sum

Abstract

The statistical process control chart is a monitoring technique useful in determining whether a process is behaving as intended or if there are some unnatural causes of variation. A process is considered to be out of control if a point falls outside the control limits or a series of points exhibit an unnatural pattern (also known as nonrandom variation). Analysis of unnatural patterns is an important aspect of control charting. It is well known that a particular unnatural pattern on a control chart is often associated with a specific set of assignable causes. Identification of unnatural patterns can greatly narrow the set of possible causes that must be investigated, hence facilitating the rapid diagnosis and corrective action.

Citation

Cheng, C. and Chen, S. (2000), "Control chart pattern recognition using average of cumulative sum", Asian Journal on Quality, Vol. 1 No. 1, pp. 81-88. https://doi.org/10.1108/15982688200000010