There are some situations when the process mean fluctuates from time to time but is still
considered as in-control and the process standard deviation is a linear function of the …

The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and
can be used to compare normally distributed data with respect to their variability, this …

Monitoring coefficient of variation is one of the successful approaches to Statistical Process
Control (SPC) when the process mean and standard deviation are not constants. This paper …

The coefficient of variation (CV) is a unit-free and effective normalized measure of
dispersion. Monitoring the CV is a crucial approach in Statistical Process Control when the …

This paper proposes an adaptive Shewhart control chart implementing a variable sample
size strategy in order to monitor the coefficient of variation. The goals of this paper are as …

The coefficient of variation (CV), a measure of relative variability, is an important quality
control issue worthy of consideration in some manufacturing and service-oriented …

In recent years, the coefficient of variation (CV) chart is receiving increasing attention in
quality control. A number of studies demonstrated that adaptive charts could detect process …

Existing charts in the literature usually monitor either the mean or the variance of the
process. However, in certain scenarios, the practitioner is not interested in the changes in …

Traditional process monitoring control charts (CCs) focused on sampling methods using
fixed sampling intervals (FSI s). The variable sampling intervals (VSI s) scheme is receiving …

Control charts for monitoring the coefficient of variation (CV) have been receiving a lot of
attention in the literature, with numerous more powerful and robust CV charts being …