Abstract: In recent years, monitoring techniques based on the multivariate coefficients of variation (MCV) have received a great deal of attention for their ability to monitor multivariate processes ...

The previous example illustrates how you can create a cusum chart using raw process measurements read from a DATA= data set. In many applications, however, the data are provided in summarized form as ...

When you are working with subgrouped data, it can be helpful to accompany a cusum chart for means with a Shewhart s chart for monitoring the variability of the process. This example creates this ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 47, No. 2 (1998), pp. 203-216 (14 pages) In the manufacture of metal fasteners in a progressive die operation, and other ...

Control charts for monitoring the process mean μ and process standard deviation σ are often based on samples of n > 1 observations, but in many applications individual observations are used (n = 1).

Abstract: Artificial neural networks (ANN) had been used for the detection and classification of patterns in control charts. It has been shown that neural network can detect smaller shifts better than ...