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A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems
15 references·0 citing·41 second hop
A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems (2018)A hybrid intelligent optimization approac…Modeling and Analysis of Multiproduct Multistage Manufacturing System for Quality Improvement (2016)Modeling and Analysis of Mult…Application of a Shewhart control chart to monitor clean ash during coal preparation (2016)Application of a Shewhart con…Markov modeling and analysis of multi-stage manufacturing systems with remote quality information feedback (2015)Markov modeling and analysis …A multistage and multiple response optimization approach for serial manufacturing system (2015)A multistage and multiple res…Multimode variation modeling and process monitoring for serial-parallel multistage manufacturing processes (2012)Multimode variation modeling …Estimating the Step‐Change Time of the Location Parameter in Multistage Processes Using MLE (2011)Estimating the Step‐Change Ti…Quality control and improvement for multistage systems: A survey (2009)Quality control and improveme…Designing a multivariate–multistage quality control system using artificial neural networks (2008)Designing a multivariate–mult…An interactive desirability function method to multiresponse optimization (2008)An interactive desirability f…Optimal process design of two-stage multiple responses grinding processes using desirability functions and metaheuristic technique (2007)Optimal process design of two…Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes (2006)Stream of Variation Modeling …Optimization of Correlated Multiple Quality Characteristics Using Desirability Function (2004)Optimization of Correlated Mu…A Comparison of Process Variation Estimators for In-Process Dimensional Measurements and Control (2004)A Comparison of Process Varia…A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine (2003)A comparison of PCA, KPCA and…Optimization Problems and Methods in Quality Control and Improvement (2000)Optimization Problems and Met…Simultaneous Optimization of Several Response Variables (1980)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models (2002)Joint Optimization of Mean and Standard Deviation Using Response Surface Methods (2003)Multi-Response Optimization Using Multiple Regression–Based Weighted Signal-to-Noise Ratio (MRWSN) (2010)Application of support vector machines in financial time series forecasting (2001)Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes (2011)Evaluation of driver fatigue on two channels of EEG data (2011)A support vector machine for model selection in demand forecasting applications (2018)Taguchi Techniques for Quality Engineering (1989)Introduction to Statistical Quality Control (2007)Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)A data mining approach to dynamic multiple responses in Taguchi experimental design (2007)Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study (2009)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)Multiple Criteria Decision Analysis: State of the Art Surveys (2005)A robust desirability function method for multi-response surface optimization considering model uncertainty (2012)A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach (2018)Time Series Analysis Forecasting and Control (1971)Time Series Analysis: Forecasting and Control (1977)Designing a neural network for forecasting financial and economic time series (1996)The use of neural networks in statistical process control charts (2011)Monitoring multivariate process variability with individual observations via penalised likelihood estimation (2012)Engineering model-based Bayesian monitoring of ramp-up phase of multistage manufacturing process (2015)Introduction to Statistical Quality Control (1987)Introduction to Statistical Quality Control (1992)Data‐driven variation source identification for manufacturing process using the eigenspace comparison method (2006)A mean deviation-based approach to monitor process variability (2008)Fault diagnosis within multistage machining processes using linear discriminant analysis: a case study in automotive industry (2016)International Journal of Production Research (1962)A Multistage Model of Customers' Assessments of Service Quality and Value (1991)Multivariate SPC Charts for Monitoring Batch Processes (1995)Survey of recent advances on the interface between production system design and 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References

  • 2003A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine588 cited
  • 2006Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes273 cited
  • 2009Quality control and improvement for multistage systems: A survey263 cited
  • 2008An interactive desirability function method to multiresponse optimization241 cited
  • 2004Optimization of Correlated Multiple Quality Characteristics Using Desirability Function138 cited
  • 2000Optimization Problems and Methods in Quality Control and Improvement132 cited
  • 2016Modeling and Analysis of Multiproduct Multistage Manufacturing System for Quality Improvement81 cited
  • 2008Designing a multivariate–multistage quality control system using artificial neural networks57 cited
  • 2004A Comparison of Process Variation Estimators for In-Process Dimensional Measurements and Control51 cited
  • 2007Optimal process design of two-stage multiple responses grinding processes using desirability functions and metaheuristic technique51 cited
  • 2015Markov modeling and analysis of multi-stage manufacturing systems with remote quality information feedback43 cited
  • 2015A multistage and multiple response optimization approach for serial manufacturing system34 cited
  • 2012Multimode variation modeling and process monitoring for serial-parallel multistage manufacturing processes31 cited

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2016
Application of a Shewhart control chart to monitor clean ash during coal preparation
24 cited
  • 2011Estimating the Step‐Change Time of the Location Parameter in Multistage Processes Using MLE9 cited
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