The cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA)
charts are renowned classical memory charts used to monitor small and moderate shifts in …

Attribute control charts are widely used to monitor count data. Many distributions are
proposed to model and monitor count data. This article has developed an exponentially …

Popular discrete distributions generally neglect tail behavior in the count data despite its
significance in many industrial and non-industrial processes. The generalized Conway …

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 …

Control charts are widely used tool that provides quality inspectors with sensitive information
for maintaining manufacturing process productivity. Numerous model‐based techniques …

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

In order to improve the monitoring efficiency of the multivariable autocorrelation process and
reduce the cost of process control, an economic design method of residual Multivariate …

Many researchers employed Poisson distribution-based control charts to monitor count data.
Nevertheless, these charts can handle count data that deviate from the Poisson assumption …

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

This paper investigates the problem of monitoring the ratio involving three variables, jointly
distributed as trivariate normal. The Shewhart-type and two exponentially weighted moving …