This research aimed to propose a newly-mixed control chart called the Exponentially
Weighted Moving Average—Moving Average Chart (EWMA-MA) to detect the mean change …

In this paper, we propose an efficient control chart for monitoring small shifts in a process
mean for scenarios where the process variable is observed with a correlated auxiliary …

Abstract The Adaptive Exponentially Weighted Moving Average (AEWMA) chart, which
combines the Shewhart and classical EWMA schemes, is usually designed using the …

Normally distributed data is crucial for the application of large-scale statistical analysis. To
statisticians, the most important assumptions of statistical users are the adequacy of the data …

The variable sample size (VSS) chart, devoted to the detection of moderate mean shifts, has
been widely investigated under the context of the average run‐length criterion. Because the …

The traditional exponentially weighted moving average (EWMA) chart is one of the most
popular control charts used in practice today. The in-control robustness is the key to the …

Process monitoring through control charts is a quite popular practice in statistical process
control. This study is planned for monitoring the process dispersion parameter using …

Control chart is the most important statistical process control tool used to monitor changes in
process location and dispersion. In this study, an EWMA control chart is proposed for …

Nonparametric control charts are widely used when the parametric distribution of the quality
characteristic of interest is questionable. In this study, we proposed a nonparametric …

Abstract Statistical Process Control (SPC) plays a vital role in maintaining quality and
reducing variability in manufacturing processes. Among SPC techniques, the Exponentially …