EWMA Dispersion Control Charts for Normal and Non‐normal Processes

Saddam Akber Abbasi · Muhammad Riaz · Arden Miller · Shabbir Ahmad · Hafiz Zafar Nazir

49 citations0/0 files storedQuality and Reliability Engineering International

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Management Systems and Quality Improvement

Abstract

Process monitoring through control charts is a quite popular practice in statistical process control. This study is planned for monitoring the process dispersion parameter using exponentially weighted moving average (EWMA) control chart scheme. Most of the EWMA dispersion charts that have been proposed are based on the assumption that the parent distribution of the quality characteristic is normal, which is not always the case. In this study, we develop new EWMA charts based on a wide range of dispersion estimates for processes following normal and non‐normal parent distributions. The performance of all the charts is evaluated and compared using run length characteristics (such as the average run length). Extra quadratic loss, relative average run length, and performance comparison index measures are also used to examine the overall effectiveness of the EWMA dispersion charts.Copyright © 2014 John Wiley & Sons, Ltd.

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References

1992Introduction to Statistical Quality Control 1954CONTINUOUS INSPECTION SCHEMES 1959Control Chart Tests Based on Geometric Moving Averages 2000Control Chart Tests Based on Geometric Moving Averages 1992An EWMA for Monitoring a Process Standard Deviation 2001Monitoring Process Mean and Variability with One EWMA Chart 1993The Exponentially Weighted Moving Variance 1991Some Omnibus Exponentially Weighted Moving Average Statistical Process Monitoring Schemes

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