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A quality monitoring and decision‐making scheme for automated production processes

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References

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2003Statistical Control of a Six Sigma Process56 cited
2003A two-stage decision procedure for monitoring processes with low fraction nonconforming52 cited
2008A study of time‐between‐events control chart for the monitoring of regularly maintained systems51 cited

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2002

Cumulative probability control charts for geometric and exponential process characteristics

49 cited

2010Monitoring time-between-events for health management30 cited

2012On the Equivalence of the Bernoulli and Geometric CUSUM Charts29 cited

2011Quality Control Implementation in Manufacturing Companies: Motivating Factors and Challenges28 cited

2002Estimating quality costs in an automotive stamping plant through the use of simulation28 cited

2009Process Monitoring with Multivariate p -Control Chart24 cited

2005Designing Accurate Control Charts Based on the Geometric and Negative Binomial Distributions24 cited

2005Monitoring Infrequent Failures of High‐volume Production Processes20 cited

2017Monitoring multivariate Poisson processes: a review and some new results17 cited

2009A new approach to setting control limits of cumulative count of conforming charts for high‐yield processes15 cited

2011On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes15 cited

2020A new exponentially weighted moving average chart with an adaptive control scheme for high yield processes—An application in injection molding process13 cited

2013Design of cumulative count of conforming charts for high yield processes based on average number of items inspected13 cited