Interval Charting Schemes for Joint Monitoring of Process Mean and Variance

Fah Fatt Gan · T. C. Chang

41 citations0/0 files storedQuality and Reliability Engineering International

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Advanced Statistical Process Monitoring Management and Optimization Techniques Fault Detection and Control Systems

Abstract

Abstract Shewhart mean and variance schemes continue to enjoy great popularity among process engineers because they are easy to understand and are the most sensitive in detecting large process shifts. For some processes, for example the screen printing process in memory modules assembly, there is a possibility of the process mean and variance shifting at the same time due to special causes. Thus, instead of studying the joint behavior by looking at the mean and variance information on two separate charts, it is practical and usually more meaningful to look at the combined mean and variance information on an interval charting scheme. The interval scheme is found to have a similar run length performance to the Shewhart mean and variance schemes and only a single chart needs to be managed. A simple design procedure for the interval scheme that matches the corresponding Shewhart scheme is provided for easy implementation. Also, the interval and Shewhart schemes are compared based on real manufacturing data sets. Copyright © 2004 John Wiley & Sons, Ltd.

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References

2001Introduction to Statistical Quality Control 1987Exact Results for Shewhart Control Charts With Supplementary Runs Rules 1993The Effect of Sample Size on Estimated Limits forXandXControl Charts 1960Quality Control and Industrial Statistics.1989Economic Statistical Control-Chart Designs with an Application to X and R Charts 1995The performance of control charts for monitoring process variation 1996Shewhart and EWMA Variable Sampling Interval Control Charts with Sampling at Fixed Times 1977Joint Economically Optimal Design of X and R Control Charts

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