Monitoring Infrequent Failures of High‐volume Production Processes

A. Di Bucchianico · Gerben D. Mooiweer · E. J. G. Moonen

20 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 We present a case study in monitoring a high‐volume production process with a high yield. Testing the products is difficult and is only possible in a destructive way with a defect/no‐defect result. We review several attribute charting procedures for high‐yield processes. It turns out that monitoring the number of conforming items between the occurrence of non‐conforming items is appropriate. We discuss several implementation aspects of CCCr charts in our case study. The implementation is based on a new formula for the standard deviation of the number of inspected items before a signal. Copyright © 2005 John Wiley & Sons, Ltd.

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References

1954CONTINUOUS INSPECTION SCHEMES 1983Quality Control Techniques for "Zero Defects"1994A Control Chart for Parts-Per-Million Nonconforming Items 2000Cumulative quantity control charts for monitoring production processes 2002Statistical Models and Control Charts for High-Quality Processes 1984Quality control techniques for “Zero Defects”2002On the Performance of Geometric Charts with Estimated Control Limits 1995GeometricQCharts for High Quality Processes

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2012Two-Sided Charts for Monitoring Nonconforming Parts per Million 2018Monitoring Regularly Maintained Systems Based on the Renewal Process with Generalized Exponential Distribution of Time between Events 2013Design of cumulative count of conforming charts for high yield processes based on average number of items inspected 2020Performance measures of discrete and continuous time‐between‐events control charts 2023Simultaneous monitoring of multivariate time between events and their magnitude using multivariate marked Hawkes point process

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