There is growing literature on new versions of “memory‐type” control charts, where
deceptively good zero‐state average run‐length (ARL) performance is misleading. Using …

In the recent literature of process monitoring, homogeneously weighted moving average
(HWMA) type control charts have become quite popular. These charts are quite efficient for …

With rapid advances in data acquisition technology, developing multivariate control charts
under high-dimensional settings has recently attracted increasing attention in many …

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 …

Multivariate control charts are useful tools for monitoring the product quality in which the
process outcome is expressed by several correlated variables. The multivariate …

Fast initial response (FIR) features are generally used to improve the sensitivity of memory‐
type control charts by shrinking time‐varying control limits in the earlier stage of the …

In recent years, the impacts of measurement errors on the performance of various control
charts have been well evaluated. The existing semicircle (SC) control chart has been …

Several coefficients of variation (CV) control charts under simple random schemes (SRS)
have been proposed to monitor process relative variability. However, little attention has …

A homogeneously weighted moving average (HWMA) monitoring scheme is a recently
proposed memory-type scheme that gained its popularity because of its simplicity and …

The coefficient of variation (CV) chart is widely used in the process where the standard
deviation is proportional to the mean. In this work, two separate one-sided triple …