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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 31, 1999 - Issue 3
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Articles

Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes

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Pages 259-274 | Published online: 20 Feb 2018

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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2024) Monitoring process mean and variability with one triple EWMA chart. Communications in Statistics - Simulation and Computation 53:2, pages 611-641.
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Binhui Wang, Zhifeng He & Lianjie Shu. (2023) A generalized exponentially weighted moving average control chart for monitoring autocorrelated vectors. Communications in Statistics - Simulation and Computation 52:6, pages 2559-2577.
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Yuhui Yao, Subha Chakraborti, Xin Yang, Jason Parton, Dwight Lewis$suffix/text()$suffix/text() & Matthew Hudnall. (2023) Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring. Journal of Quality Technology 55:3, pages 302-317.
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Hidayatul Khusna, Muhammad Mashuri, Suhartono, Dedy Dwi Prastyo, Muhammad Hisyam Lee & Muhammad Ahsan. (2019) Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes. Production & Manufacturing Research 7:1, pages 364-394.
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Héctor De la Torre Gutiérrez & Duc Truong Pham. (2018) Identification of patterns in control charts for processes with statistically correlated noise. International Journal of Production Research 56:4, pages 1504-1520.
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Hidayatul Khusna, Muhammad Mashuri, Suhartono Suhartono, Dedy Dwi Prastyo & Muhammad Ahsan. (2018) Multioutput least square SVR-based multivariate EWMA control chart: The performance evaluation and application. Cogent Engineering 5:1.
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Erdi Dasdemir, Christian Weiß, Murat Caner Testik & Sven Knoth. (2016) Evaluation of Phase I analysis scenarios on Phase II performance of control charts for autocorrelated observations. Quality Engineering 28:3, pages 293-304.
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Wenjuan Liang, Dongdong Xiang & Xiaolong Pu. (2016) A Robust Multivariate EWMA Control Chart for Detecting Sparse Mean Shifts. Journal of Quality Technology 48:3, pages 265-283.
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Shin-Li Lu. (2016) Applying fast initial response features on GWMA control charts for monitoring autocorrelation data. Communications in Statistics - Theory and Methods 45:11, pages 3344-3356.
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Roberto Campos Leoni, Marcela Aparecida Guerreiro Machado & Antonio Fernando Branco Costa. (2016) The T2 chart with mixed samples to control bivariate autocorrelated processes. International Journal of Production Research 54:11, pages 3294-3310.
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Bruno Chaves Franco, Giovanni Celano, Philippe Castagliola, Antonio Fernando Branco Costa & Marcela Aparecida Guerreiro Machado. (2015) A new sampling strategy for the Shewhart control chart monitoring a process with wandering mean. International Journal of Production Research 53:14, pages 4231-4248.
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Martin Kovářík, Libor Sarga & Petr Klímek. (2015) Usage of control charts for time series analysis in financial management. Journal of Business Economics and Management 16:1, pages 138-158.
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Noa Ruschin-Rimini, Irad Ben-Gal & Oded Maimon. (2013) Fractal geometry statistical process control for non-linear pattern-based processes. IIE Transactions 45:4, pages 355-373.
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Huairui Guo, Kamran Paynabar & Jionghua Jin. (2012) Multiscale monitoring of autocorrelated processes using wavelets analysis. IIE Transactions 44:4, pages 312-326.
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Panagiotis Tsiamyrtzis & Douglas M. Hawkins. (2010) Bayesian Startup Phase Mean Monitoring of an Autocorrelated Process That Is Subject to Random Sized Jumps. Technometrics 52:4, pages 438-452.
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MichaelB. C. Khoo, S. Y. Teh & Zhang Wu. (2010) Monitoring Process Mean and Variability with One Double EWMA Chart. Communications in Statistics - Theory and Methods 39:20, pages 3678-3694.
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Marcus B. Perry & Joseph J. Pignatiello$suffix/text()$suffix/text(). (2010) Identifying the time of step change in the mean of autocorrelated processes. Journal of Applied Statistics 37:1, pages 119-136.
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Manuel Vargas, José Luis Alfaro & José Mondéjar. (2009) On the Run Length of a State-Space Control Chart for Multivariate Autocorrelated Data. Communications in Statistics - Simulation and Computation 38:9, pages 1823-1833.
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Antonio F. B. Costa, Maysa S. de Magalhães & Eugenio K. Epprecht. (2009) Monitoring the process mean and variance using a synthetic control chart with two-stage testing. International Journal of Production Research 47:18, pages 5067-5086.
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Joongsup (Jay) Lee, Christos Alexopoulos, David Goldsman, Seong-Hee Kim, Kwok-Leung Tsui & JamesR. Wilson. (2009) Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation. IIE Transactions 41:11, pages 979-994.
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Giovanna Capizzi & Guido Masarotto. (2009) Bootstrap-based design of residual control charts. IIE Transactions 41:4, pages 275-286.
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Giovanna Capizzi & Guido Masarotto. (2008) Practical Design of Generalized Likelihood Ratio Control Charts for Autocorrelated Data. Technometrics 50:3, pages 357-370.
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Peihua Qiu. (2008) Distribution-free multivariate process control based on log-linear modeling. IIE Transactions 40:7, pages 664-677.
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Lianjie Shu. (2008) An adaptive exponentially weighted moving average control chart for monitoring process variances. Journal of Statistical Computation and Simulation 78:4, pages 367-384.
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Tzong-Ru Tsai, Shuo-Jye Wu, Jyh-Jiuan Lin & Yi-Ju Chen. (2007) Alternative estimation procedure in SPC when the process data are correlated. Journal of Statistical Computation and Simulation 77:7, pages 575-583.
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Jeffrey E. Jarrett & Xia Pan. (2007) Monitoring Variability and Analyzing Multivariate Autocorrelated Processes. Journal of Applied Statistics 34:4, pages 459-469.
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Vasyl Golosnoy & Wolfgang Schmid. (2007) EWMA Control Charts for Monitoring Optimal Portfolio Weights. Sequential Analysis 26:2, pages 195-224.
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Daniel W. Apley & Chang-Ho Chin. (2007) An Optimal Filter Design Approach to Statistical Process Control. Journal of Quality Technology 39:2, pages 93-117.
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Chang-Ho Chin & Daniel W Apley. (2006) Optimal Design of Second-Order Linear Filters for Control Charting. Technometrics 48:3, pages 337-348.
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Xia Pan. (2006) A Simple Method Using CuScore to Monitor Changes in ARMA Coefficients. Communications in Statistics - Simulation and Computation 35:2, pages 515-530.
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H. Brian Hwarng . (2005) Simultaneous identification of mean shift and correlation change in AR(1) processes. International Journal of Production Research 43:9, pages 1761-1783.
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F. K. Wang. (2005) A simple data transformation of auto-correlated data for SPC. International Journal of Production Research 43:5, pages 981-989.
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ABDELMONEM SNOUSSI, MOHAMED EL GHOURABI & MOHAMED LIMAM. (2005) On SPC for Short Run Autocorrelated Data. Communications in Statistics - Simulation and Computation 34:1, pages 219-234.
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A. A. Kalgonda & S. R. Kulkarni. (2004) Multivariate Quality Control Chart for Autocorrelated Processes. Journal of Applied Statistics 31:3, pages 317-327.
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M. Rosołowski & W. Schmid. (2003) EWMA Charts for Monitoring the Mean and the Autocovariances of Stationary Gaussian Processes. Sequential Analysis 22:4, pages 257-285.
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John N. Dyer, Benjamin M. Adams & Michael D. Conerly. (2003) The Reverse Moving Average Control Chart for Monitoring Autocorrelated Processes. Journal of Quality Technology 35:2, pages 139-152.
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L. Allison Jones. (2002) The Statistical Design of EWMA Control Charts with Estimated Parameters. Journal of Quality Technology 34:3, pages 277-288.
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M. Gültekin, E. A. Elsayed, J. R. English & A. S. Hauksdóttir. (2002) Monitoring automatically controlled processes using statistical control charts. International Journal of Production Research 40:10, pages 2303-2320.
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Peihua Qiu & Douglas Hawkins. (2001) A Rank-Based Multivariate CUSUM Procedure. Technometrics 43:2, pages 120-132.
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D. F. Cook, C. W. Zobel & Q. J. Nottingham. (2001) Utilization of neural networks for the recognition of variance shifts in correlated manufacturing process parameters. International Journal of Production Research 39:17, pages 3881-3887.
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Wei Jiang, Kwok-Leung Tsui & WilliamH. Woodall. (2000) A New SPC Monitoring Method: The ARMA Chart. Technometrics 42:4, pages 399-410.
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William H. Woodall. (2000) Controversies and Contradictions in Statistical Process Control. Journal of Quality Technology 32:4, pages 341-350.
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Zachary G B. Stoumbos & Marion R. Reynolds$suffix/text()$suffix/text(). (2000) Robustness to non-normality and autocorrelation of individuals control charts. Journal of Statistical Computation and Simulation 66:2, pages 145-187.
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