Process monitoring is regarded as a continuous phenomenon requiring careful
consideration to acquire an enhanced output quality. Dispersion and location are significant …

Monitoring several correlated quality characteristics of a process is common in modern
manufacturing and service industries. Although a lot of attention has been paid to monitoring …

This paper considers adaptive schemes for the simultaneous monitoring of the mean and
variability of a multivariate normal quality characteristic. At first, we extend an already …

Evaluating the effect of measurement errors on either adaptive or simultaneous control
charts has been a topic of interest for the researchers in the recent years. Nevertheless, the …

Simultaneous monitoring of the process parameters in a multivariate normal process has
caught researchers' attention during the last two decades. However, only statistical control …

High-dimensional variability monitoring and diagnosing is of great prominence for the
quality improvement and cost reduction. Most of the existing control charts are mainly based …

A multivariate control chart is designed to monitor process parameters of multiple correlated
quality characteristics. Often data on multivariate processes are collected as individual …

The combined effect of two real-world-occurring phenomena:'measurement errors' and
'autocorrelation between observations' has rarely been investigated. In this paper, it will be …

In this paper, we investigate the misleading effect of measurement errors on simultaneous
monitoring of the multivariate process mean and variability. For this purpose, we incorporate …

In recent years, the simultaneous monitoring of the process mean and variability has
received increasing attention in statistical process monitoring (SPM). Most of control charts …