Statistical quality control is a very useful tool in the hands of business in order to improve
their products quality. The control charts are the most widely used and the most effective tool …

Statistical process control (SPC) charts play a central role in quality control and
management. Many conventional SPC charts are designed under the assumption that the …

Improvements in measuring devices, the development of sensing technologies, automated
record-keeping and cloud storage facilities have offered us a large volume of data streams …

Nonparametric control charts provide a robust alternative in practice when the form of the
underlying distribution is unknown. Nonparametric CUSUM (NPCUSUM) charts blend the …

The rapid growth of Internet of Things (IoT) and sensing technologies has led to an
increasing interest in time-series data analysis. In many domains, detecting patterns of IoT …

In many applications of modern quality control, process monitoring involves a large number
of process variables and quality characteristics. Practitioners are desired to attain complete …

Recent advancement of sensor technology has made it possible to monitor high-
dimensional data streams in various manufacturing systems for quality improvement …

In this paper, we develop two adaptive approaches for detecting the signal source in a
bivariate process when a shift occurs in the location vector or the scale matrix or both. The …

Monitoring time-between-events-and-amplitude (TBEA) data, including the time interval
between two successive nonconforming events and the amplitude of an event, is significant …

The exponentially weighted moving average (EWMA) control charts are widely used in
chemical and process industries because of their excellent speed in catching small to …