In this paper, we review multivariate control charts designed for monitoring changes in a
covariance matrix that have been developed in the last 15 years. The focus is on control …

The problem of using time-varying trajectory data measured on many process variables over
the finite duration of a batch process is considered. Multiway principal-component analysis …

Data collection has become a ubiquitous function of large organizations {not only for record
keeping, but to support a variety of data analysis tasks that are critical to the organizational …

Measurements from industrial processes are often serially correlated. The impact of this
correlation on the performance of the cumulative sum and exponentially weighted moving …

A Smart City is a cyber–physical system improving urban behavior and capabilities by
providing ICT-based functionalities. An infrastructure for Smart City has to be geographically …

In statistical process control it is usually assumed that the observations taken from the
process of interest are independent, but in practice the observations in many cases are …

Control charts are widely used in industry to monitor processes that are far from Zero-Defect
(ZD), and their use in a near Zero-Defect manufacturing environment poses many problems …

Reliability and quality of service from information systems has been threatened by cyber
intrusions. To protect information systems from intrusions and thus assure reliability and …

In this paper we investigate control charts for monitoring a process to detect changes in the
mean and/or variance of a normal quality variable when an individual observation is taken at …

Control charts for monitoring the process mean μ and process standard deviation σ are often
based on samples of n> 1 observations, but in many applications individual observations …