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Detecting process drift with combinations of trend and zonal supplementary runs rules
9 references·2 citing·39 second hop
Detecting process drift with combinations of trend and zonal supplementary runs rules (1995)Detecting process drift with combinations…False Signal Rates for the Shewhart Control Chart with Supplementary Runs Tests (1991)False Signal Rates for the Sh…Tables of Run Length Percentiles for Determining the Sensitivity of Shewhart Control Charts for Averages with Supplementary Runs Rules (1990)Tables of Run Length Percenti…Performance of the Control Chart Trend Rule under Linear Shift (1988)Performance of the Control Ch…Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Exact Results for Shewhart Co…Interpreting Shewhart X Control Charts (1985)Interpreting Shewhart X Contr…The Shewhart Control Chart—Tests for Special Causes (1984)The Shewhart Control Chart—Te…Detecting a Shift in Process Average: Tables of the Power Function for X Charts (1983)Detecting a Shift in Process …Guide to Quality Control (1982)Guide to Quality ControlEconomic Control of Quality of Manufactured Product. (1932)Economic Control of Quality o…Run rules based phase IIcandnpcharts when process parameters are unknown (2015)Run rules based phase IIcandn…Modifying simple linear profiles monitoring schemes in phase II to detect decreasing step shifts and drifts (2012)Modifying simple linear profi…Quality Control and Industrial Statistics. (1967)An Approach to the Probability Distribution of Cusum Run Length (1972)$\overline{X}$ Charts with Variable Sampling Intervals (1988)Statistical process control procedures for correlated observations (1991)Introduction to Statistical Quality Control (1992)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)Introduction to Matrix Analytic Methods in Stochastic Modeling (1999)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Economic-statistical design of synthetic np chart with estimated process parameter (2020)Quality, productivity, and competitive position (1982)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Risks and decisions for conservation and environmental management (2005)Risks and Decisions for Conservation and Environmental Management (2005)Statistical Quality Control (1990)Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Control chart pattern recognition using the convolutional neural network (2019)Performance characteristics of rules for internal quality control: probabilities for false rejection and error detection. (1977)Design and Performance of Statistical Process Control Charts Applied to Estrous Detection Efficiency (2003)Designs of control charts with supplementary runs rules (2005)The design, selection, and performance of statistical control charts for healthcare process improvement (2008)Quality Control and Industrial Statistics (1988)The ModifiedrOut ofmControl Chart (2008)Optimal design of the synthetic chart for the process mean based on median run length (2012)Progressive Mean Control Chart for Monitoring Process Location Parameter (2012)Properties of Control Chart Zone Tests (1958)Statistical Quality Control (1980)Robustness of Forecast-Based Monitoring Schemes (1998)On the performance of different control charting rules (2011)Monitoring the ratio of two normal variables using Run Rules type control charts (2015)Assessing Operations Management from a Strategic Perspective (1989)Evaluation and improvement of manufacturing performance measurement systems ‐ the role of OEE (1999)A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing (2006)Procedures for Reacting to a Change in Distribution (1971)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)A neural network approach to characterize pattern parameters in process control charts (1999)On-line control chart pattern detection and discrimination—a neural network approach (1999)Run Charts Revisited: A Simulation Study of Run Chart Rules for Detection of Non-Random Variation in Health Care Processes (2014)
this work references cited by second hop

References

  • 1932Economic Control of Quality of Manufactured Product.3,069 cited
  • 1982Guide to Quality Control740 cited
  • 1984The Shewhart Control Chart—Tests for Special Causes586 cited
  • 1987Exact Results for Shewhart Control Charts With Supplementary Runs Rules455 cited
  • 1985Interpreting Shewhart X Control Charts147 cited
  • 1988Performance of the Control Chart Trend Rule under Linear Shift91 cited
  • 1990Tables of Run Length Percentiles for Determining the Sensitivity of Shewhart Control Charts for Averages with Supplementary Runs Rules80 cited
  • 1983Detecting a Shift in Process Average: Tables of the Power Function for X Charts64 cited
  • 1991False Signal Rates for the Shewhart Control Chart with Supplementary Runs Tests52 cited

Cited by

  • 2015Run rules based phase IIcandnpcharts when process parameters are unknown16 cited
  • 2012Modifying simple linear profiles monitoring schemes in phase II to detect decreasing step shifts and drifts13 cited

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