In the control chart literature, a number of one-and two-chart schemes has been developed
to simultaneously monitor the mean and variance parameters of normally distributed …

This article considers statistical process control (SPC) of univariate processes when the
parametric form of the process distribution is unavailable. Most existing SPC procedures are …

In our daily lives, we often need to identify individuals whose longitudinal behavior is
different from the behavior of those well-functioning individuals, so that some unpleasant …

Statistical quality control deals with controlling and monitoring of production/manufacturing
processes for improved quality of products. Control charts are the major tools that are widely …

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 …

We consider statistical process control (SPC) of univariate processes when observed data
are not normally distributed. Most existing SPC procedures are based on the normality …

This article considers statistical process control (SPC) of univariate processes, and tries to
make two contributions to the univariate SPC problem. First, we propose a continuously …

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 …

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 …

Among the statistical process control techniques, the control chart has been proven to be
effective in process monitoring. The Shewhart S-chart is one of the most commonly used …