In today's competitive landscape, fulfilling customer expectations and achieving a
competitive edge are crucial for business success. These objectives can be attained by …

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 …

Plastic injection moulding is considered as one of the very challenging processes to obtain
output with a good quality and low cost. This paper presents a case study of the deployment …

A new single distribution-free Phase-II CUSUM procedure based on the Cucconi statistic for
simultaneously monitoring shifts in the unknown location and scale parameters of a process …

The control chart is one of the most powerful techniques in statistical process control (SPC)
to monitor processes and ensure quality. The sample size n plays a critical role in the overall …

Nonparametric statistical process monitoring (NSPM) schemes are very effective in
monitoring various non-normal and complex processes. Nevertheless, there is one …

This article proposes an attribute chart for variables (AFV chart) that employs an attribute
inspection (checking whether a unit is conforming or nonconforming) to monitor not only the …

This study proposes a new control chart for monitoring double bounded processes in the
intervals (0, 1],[0, 1) or [0, 1], such as fractions and proportions, which commonly contain …

In the present article, we propose a new control chart for monitoring high quality processes.
More specifically, we suggest declaring the monitored process out of control, by exploiting a …

Abstract The binomial Exponentially Weighted Moving Average (EWMA) control chart has
been widely used as an effective tool for detecting small and moderate shifts in fraction …