Control charts that are based on assumption (s) of a specific form for the underlying process
distribution are referred to as parametric control charts. There are many applications where …

We review the long-established rational subgrouping principle for determining an effective
sampling plan for process monitoring. We present some other general advice that has been …

Traditional Shewhart control charts have insufficient detection capabilities for the volatility of
means in asphalt mixture production. This paper proposes an exponentially weighted …

Memory control chart such as multivariate CUSUM (MCUSUM) and multivariate EWMA
(MEWMA) control charts are considered superior for the detection of small-to-moderate …

This article proposes a CV chart by using the variable sample size and sampling interval
(VSSI) feature to improve the performance of the basic CV chart, for detecting small and …

We generalize popular distribution-free (nonparametric) Shewhart–Lepage scheme for
simultaneously monitoring of location and scale parameters using an adaptive approach …

An adaptive control chart is one of the most effective techniques in Statistical Process
Control (SPC). The coefficient of variation (CV) is common in many real life applications …

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 …

In this paper, we provide an overview of the use of run and scan rules in statistical process
monitoring. Although we focus on control charts, supplemented with various stopping rules …

An efficient process monitoring system is important for achieving sustainable manufacturing.
The control charting technique is one of the most effective techniques to monitor process …