Control charts are powerful tools used to monitor the quality of processes. In practice, control
chart limits are often calculated using parameter estimates from an in-control Phase I …

Nonparametric control charts are useful when the underlying process distribution is not likely
to be normal or is unknown. In this paper, we propose two nonparametric analogs of the …

Multivariate statistical process control (SPC) carries out ongoing checks to ensure that a
process is in control. These checks on the process are traditionally done by T 2, multivariate …

Monitoring multivariate quality variables or data streams remains an important and
challenging problem in statistical process control (SPC). Although the multivariate SPC has …

Nonparametric control charts are useful in statistical process control when there is a lack of
or limited knowledge about the underlying process distribution, especially when the process …

The performance of control charts can be adversely affected when based on parameter
estimates instead of known in‐control parameters. Several studies have shown that a large …

Quality of machined products is often related to the shapes of surfaces that are constrained
by geometric tolerances. In this case, statistical quality monitoring should be used to quickly …

Recent studies show that Shewhart-type control charts monitoring the ratio of two normal
random variables are useful to perform continuous surveillance in several manufacturing …

The SARS COVID-19 pandemic highlighted the importance of routine indoor air quality (IAQ)
monitoring. Recent advances in IAQ sensors and remote logging technologies offer …

In the present article, we study the effect of estimating the vector of means and variance-
covariance matrix in the performance of the multivariate exponentially weighted moving …