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The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods
6 references·2 citing·35 second hop
The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods (2018)The revised Tennessee Eastman process sim…The Effect of Autocorrelation on the Hotelling T2 Control Chart (2014)The Effect of Autocorrelation…Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift (2013)Latent Structures-Based Multi…BPMN: An introduction to the standard (2011)BPMN: An introduction to the …On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…Evolutionary Operation: A Method for Increasing Industrial Productivity (1957)Evolutionary Operation: A Met…On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainmen…An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry (2021)An integrated contract manufa…Using Machine Learning Classifiers to Recognize the Mixture Control Chart Patterns for a Multiple-Input Multiple-Output Process (2020)Using Machine Learning Classi…Economic Control of Quality of Manufactured Product. (1932)Introduction to Statistical Quality Control (1992)Statistics for experimenters: design, innovation, and discovery (2006)Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control (2015)Recent Advances and Future Directions for Quality Engineering (2015)Percentile‐based control chart design with an application to Shewhart X and S 2 control charts (2018)Time-Series Modeling for Statistical Process Control (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to time series analysis and forecasting (2008)An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process (2020)Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry (2024)Business Process Management: A Survey (2003)Workflow Patterns (2003)Seven process modeling guidelines (7PMG) (2009)Business process model and notation: The current state of affairs (2015)BPMN 2.0: The state of support and implementation (2017)Event abstraction in process mining: literature review and taxonomy (2020)Design of Experiments (1936)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Response surface methodology (2010)A proposed framework for control chart pattern recognition in multivariate process using artificial neural networks (2009)Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems (2015)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Statistical Process Control Charts Applied to Rock Disintegration Quality Improvement (2020)A new multivariate extended homogeneously weighted moving average monitoring scheme incorporated with a support vector machine (2023)On-line recognition of mixture control chart patterns using hybrid CNN and LSTM for auto-correlated processes (2024)Process Capability Indices (1986)Extended VIKOR method in comparison with outranking methods (2006)Member combination selection for product collaborative design under the open innovation model (2022)Experimental Design: Review and Comment (1984)Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Experimental design II. Optimization (1996)Factorial Sampling Plans for Preliminary Computational Experiments (1991)
this work references cited by second hop

References

  • 1951On the Experimental Attainment of Optimum Conditions4,621 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,451 cited
  • 2011BPMN: An introduction to the standard688 cited
  • 1957Evolutionary Operation: A Method for Increasing Industrial Productivity576 cited
  • 2013Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift58 cited
  • 2014The Effect of Autocorrelation on the Hotelling T2 Control Chart51 cited

Cited by

  • 2020Using Machine Learning Classifiers to Recognize the Mixture Control Chart Patterns for a Multiple-Input Multiple-Output Process18 cited
  • 2021An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry17 cited

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