Run Length Variability and Three Sigma Control Limits

K. Govindaraju · Chin Diew Lai

10 citations0/0 files storedEconomic Quality Control

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

Abstract

This article provides an argument against the use of three sigma limits for control charts. An alternative proposal to use control limits narrower than three sigma control limits is made. The main reason for narrowing the control limits is to achieve a smaller variability in the frequency of process resetting as well as false alarms. An example is given illustrating why a good statistical design of control charts needs to avoid the use of three sigma control limits.

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2000Controversies and Contradictions in Statistical Process Control 1989Economic Statistical Control-Chart Designs With an Application to and R Charts 2001The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters 1989Economic Statistical Control-Chart Designs with an Application to X and R Charts 1985The Statistical Design of Quality Control Charts 1993Statistical Process Control: Theory and Practice 2004The Run Length Distribution of the CUSUM with Estimated Parameters 1997A Discussion on Statistically-Based Process Monitoring and Control

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