In this article, we propose a control chart for detecting shifts in the covariance matrix of a
multivariate process. The monitoring statistic is based on the standardized sample variance …

The MRMAX chart is a single chart based on the standardized sample means and sample
ranges for monitoring the mean vector and the covariance matrix of multivariate processes …

For the univariate case, the R chart and the S 2 chart are the most common charts used for
monitoring the process dispersion. With the usual sample size of 4 and 5, the R chart is …

In this article, we propose new control charts for monitoring the mean vector and the
covariance matrix of bivariate processes. The traditional tools used for this purpose are the T …

Profile monitoring is referred to as monitoring the functional relationship between the
response and explanatory variables. Traditionally, process control charts monitor the mean …

Many manufacturing processes are multivariate in nature because the quality of a given
product is determined by several interrelated quality characteristics. Recently, various …

The (x¯, s) control chart is one of simultaneous control charts to monitor process mean and
variance on x¯-s coordinate. The primary purpose of the (x¯, s) control chart has been the …

This paper considers a design parameter-free Kullback-Leibler information (KLI) control
chart for monitoring the nonconforming proportion p of Bernoulli processes in Phase II. The …

Statistical process control (SPC) is one of the important tools in quality control (QC).
Commercial software packages are available to implement SPC. However, they are costly …

This paper proposes a Kullback‐Leibler information (KLI) control chart for monitoring the
occurrence rate of a process that follows an exponential distribution. The chart is designed …