Control charts are very popular quality tools used to detect and control industrial process
deviations in statistical process control. The current paper presents a new triple …

The control charts are essential tools in order to monitor the process quality as well as are
used in numerous industries. The classical Shewhart S‐control chart is the most prevalent …

In this paper, the moving average control chart is developed under time truncated test to
monitor the number of failures when the lifetime of an item follows the Rayleigh and inverse …

The moving average (MA) and double moving average (DMA) control charts are a good
alternative to the Shewhart chart to detect small to moderate shifts of the process mean more …

In this paper, X¯ charts based on robust scale estimators (known as S n and Q n estimators)
are proposed, and the performance of control charts based on median absolute deviation …

Monitoring the stability of measured dispersion in a process quality parameter is one of the
critical steps in statistical process control (SPC) and is a paramount activity carried out by …

The estimates of a standard deviation deteriorate the detection ability of control charts by
reason of its high biases when the contaminations are present. This study proposes two …

The moving average (MA) control chart is a memory-type scheme and effective for
monitoring small and moderate shifts in the process mean. Several modifications of the MA …

In the recent years, another approach named as the bootstrap method is getting popular in
Statistical Process Control (SPC) specifically when the underlying distribution of the process …

The detection ability of control charts varies with the robustness of estimators against
contamination. The aim of this current study is to develop six types of estimators based on …