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Control of system parameters by estimating screw withdrawal strength values of particleboards using artificial neural network-based statistical control charts
9 references·0 citing·35 second hop
Control of system parameters by estimating screw withdrawal strength values of particleboards using artificial neural network-based statistical control charts (2022)Control of system parameters by estimatin…A new CUSUM control chart under uncertainty with applications in petroleum and meteorology (2021)A new CUSUM control chart und…Average Run Length on CUSUM Control Chart for Seasonal and Non-Seasonal Moving Average Processes with Exogenous Variables (2020)Average Run Length on CUSUM C…Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process (2020)Application of integrated rec…Design and application of integrated control charts for monitoring process mean and variance (2005)Design and application of int…Cumulative Sum Charts and Charting for Quality Improvement (1998)Cumulative Sum Charts and Cha…Demand forecasting and inventory control (1997)Demand forecasting and invent…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Time-Series Modeling for Statistical Process Control (1988)Time-Series Modeling for Stat…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESThe Economic Design of X Charts Used to Maintain Current Control of a Process (1956)Introduction to Statistical Quality Control (2001)Erratum to Integrated control chart system for time-between-events monitoring in a multistage manufacturing system (2008)Integrated control chart system for time-between-events monitoring in a multistage manufacturing system (2008)A Variable Control Chart Based on Process Capability Index Under Generalized Multiple Dependent State Sampling (2019)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Statistical process control procedures for correlated observations (1991)Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Control Chart Tests Based on Geometric Moving Averages (1959)Application of statistical process control in healthcare improvement: systematic review (2007)Detection Sensitivity of a Modified EWMA Control Chart with a Time Series Model with Fractionality and Integration (2022)Integral equation solutions for the average run length for monitoring shifts in the mean of a generalized seasonal ARFIMAX(P, D, Q, r)s process running on a CUSUM control chart (2022)Accurate Average Run Length Analysis for Detecting Changes in a Long-Memory Fractionally Integrated MAX Process Running on EWMA Control Chart (2023)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A synergistic Mahalanobis–Taguchi system and support vector regression based predictive multivariate manufacturing process quality control approach (2020)Concurrent Control Chart Pattern Recognition: A Systematic Review (2022)Explainable AI for trustworthy intelligent process monitoring (2025)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Optimal designs of the side sensitive synthetic chart for the coefficient of variation based on the median run length and expected median run length (2021)A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods (2022)A robust cusum control chart for median absolute deviation based on trimming and winsorization (2024)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)Research Issues and Ideas in Statistical Process Control (1999)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)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 customer satisfaction inventory model for supply chain integration (2010)Demand forecasting based on natural computing approaches applied to the foodstuff retail segment (2016)Demand forecasting: a comparison between the Holt-Winters, trend analysis and decomposition models (2017)
this work references cited by second hop

References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1998Cumulative Sum Charts and Charting for Quality Improvement842 cited
  • 1988Time-Series Modeling for Statistical Process Control724 cited
  • 2020Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process70 cited
  • 1997Demand forecasting and inventory control28 cited
  • 2021A new CUSUM control chart under uncertainty with applications in petroleum and meteorology21 cited
  • 2005Design and application of integrated control charts for monitoring process mean and variance21 cited
  • 2020Average Run Length on CUSUM Control Chart for Seasonal and Non-Seasonal Moving Average Processes with Exogenous Variables20 cited

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