In this paper, we review multivariate control charts designed for monitoring changes in a
covariance matrix that have been developed in the last 15 years. The focus is on control …

This paper considers Statistical Process Control (SPC) when the process measurement is
multivariate. In the literature, most existing multivariate SPC procedures assume that the in …

Recently, monitoring the process mean and variability simultaneously for multivariate
processes by using a single control chart has drawn some attention. However, due to the …

Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
that plot single statistic as a representation of mean vector and covariance matrix. The Max …

This paper considers adaptive schemes for the simultaneous monitoring of the mean and
variability of a multivariate normal quality characteristic. At first, we extend an already …

Evaluating the effect of measurement errors on either adaptive or simultaneous control
charts has been a topic of interest for the researchers in the recent years. Nevertheless, the …

Most multivariate control charts in the literature are designed to detect either mean or
variation shifts rather than both. A simultaneous use of the Hotelling T 2 and| S| control …

Maximum multivariate cumulative sum (Max-MCUSUM) is one of the single control charts
proposed for joint monitoring the mean and variability of independent observation. Since …

Due to advances in technology, sampling procedures and short lag times between
successive sampling, autocorrelation among the measured data has become common in …

In this paper, we propose a synthetic control chart with two-stage testing (SyTS chart) to
control the process mean and variance. As in the case of Shewhart control charts, samples …