On Enhanced Interquartile Range Charting for Process Dispersion

Muhammad Riaz

23 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

A careful monitoring of process dispersion is necessary to get optimum output from any process. Control charts are very important process monitoring tools of Statistical Process Control toolkit. Interquartile range (IQR) is a famous dispersion measure that is used to monitor process dispersion in quality control literature. In this study, a set of auxiliary information-based Shewhart-type IQR charts are proposed for efficient monitoring of process dispersion under bivariate normal, t and gamma distributed processes. The control structures of the proposed charts are developed, and their performances are evaluated in terms of Average Time to Signal (ATS), Average Extra Quadratic Loss and Average Ratio to ATS. Comparisons are made among different charts to establish their superiorities for a quicker detection of process changes. An illustrative example is also provided to elaborate the procedural details of the proposed IQR charts using a real data set. Copyright © 2013 John Wiley & Sons, Ltd.

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References

1932Economic control of quality of manufactured product 1987Introduction to Statistical Quality Control 1991Multivariate Quality Control Based on Regression-Adjusted Variables 1993Regression Adjustment for Variables in Multivariate Quality Control 1993A Review and Analysis of Cause-Selecting Control Charts 2009An enhanced adaptive CUSUM control chart 1989Robust Control Charts 2010Enhancing the performance of EWMA charts

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2022A review and critique of auxiliary information-based process monitoring methods 2018New Interquartile Range EWMA Control Charts with Applications in Continuous Stirred Tank Rector Process 2021IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity 2018An enhanced GWMA chart for process mean

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