In healthcare monitoring, the quality of medical services and patient outcomes are
significantly influenced by the unnatural variations emphasizing the importance of effective …

The statistical performance of parametric control charts is questionable when the underlying
process does not follow any specified probability distribution. Nonparametric control charts …

A control chart is the most well-known statistical monitoring tecnique to address
unfavourable process parameter (s) changes. Quality practitioners always desire a charting …

Nonparametric (distribution-free) control charts have been introduced in recent years when
quality characteristics do not follow a specific distribution. When the sample selection is …

The basic assumption of the parametric control charts is that the underlying process follows
the specific distribution. The appropriateness of parametric control charts is questionable …

The adaptive exponentially weighted moving average (AEWMA) control charts are the
advanced form of classical memory control charts used for efficiently monitoring small-to …

The homogeneously weighted moving average (HWMA) chart is a recent control chart that
has attracted the attention of many researchers in statistical process control (SPC). The …

The EWMA charts are the well-known memory-type charts used for monitoring the small-to-
intermediate shifts in the process parameters (location and/or dispersion). The hybrid EWMA …

Stability in process parameters is required to ensure the quality of the finished item. Control
charts, as one of the critical parts of statistical process monitoring (SPM), have seen …

The classical cumulative SUM (CUSUM) chart is commonly used to monitor a particular size
of the mean shift. In many real processes, it is assumed that the shift level varies within a …