Cumulative sum and exponentially weighted moving average are also named as memory-
type statistical process control charts for they are good at quickly detecting the presence of …

Control charting techniques for monitoring the magnitude and frequency of an event are
crucial in manufacturing and industrial activities. Several articles on monitoring the two …

In the modern era of digitalization, manufacturing industries needed monitoring methods to
timely detect an abrupt change in the process. Control charts are widely used online …

EWMA and Max-EWMA charts are considered efficient for individual as well as joint
monitoring of mean and variance shifts in the production process. However, measurement …

Reliability assurance refers to a series of activities to ensure that the final product reliability
meets the design specifications during the life cycle. However, most reliability assurance …

The statistical performance of parametric control charts is questionable when the underlying
process does not follow any specified probability distribution. Nonparametric control charts …

This paper presents a multivariate homogeneously weighted moving average (MHWMA)
control chart for monitoring a process mean vector. The MHWMA control chart statistic gives …

The memory control charts, including cumulative sum (CUSUM) and exponentially weighted
moving average (EWMA) control charts, are widely used to monitor small‐to‐moderate shifts …

Several modifications and enhancements to control charts in increasing the performance of
small and moderate process shifts have been introduced in the quality control charting …

Control charts are popular monitoring tools in statistical process control toolkit. These are
used to identify assignable causes in the process parameters (location and/or dispersion) …