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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 29, 1997 - Issue 1
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Articles

Designing a Multivariate EWMA Control Chart

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Pages 8-15 | Published online: 21 Feb 2018

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Muhammad Imran, Jinsheng Sun, Xuelong Hu, Fatima Sehar Zaidi & Anan Tang. (2024) Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval. Journal of Applied Statistics 51:5, pages 913-934.
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Yunfei Shao, Wujun Si & Yong Chen. (2024) Spatial modeling and monitoring considering long-range dependence. Journal of Quality Technology 56:2, pages 91-112.
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Muhammad Noor-ul-Amin & Muhammad Atif Sarwar. (2023) Design of a new adaptive MEWMA chart to monitor the mean. Journal of Statistical Computation and Simulation 93:16, pages 2888-2905.
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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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Hussam Ahmad, Mohammad Amini, Bahram Sadeghpour Gildeh & Adel Ahmadi Nadi. (2023) Copula-based multivariate EWMA control charts for monitoring the mean vector of bivariate processes using a mixture model. Communications in Statistics - Theory and Methods 0:0, pages 1-24.
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Daniel Ashagrie Tegegne, Daniel Kitaw & Eshetie Berhan. (2022) Advances in statistical quality control chart techniques and their limitations to cement industry. Cogent Engineering 9:1.
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Burcu Aytaçoğlu, Anne R. Driscoll & William H. Woodall. (2022) Controlling the conditional false alarm rate for the MEWMA control chart. Journal of Quality Technology 54:5, pages 487-502.
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Ming Ha Lee, Vie Ming Tan, Abdul Haq, Michael B. C. Khoo, XinYing Chew & Wei Lin Teoh. (2022) The multivariate exponentially weighted moving average chart for monitoring short production runs. Communications in Statistics - Simulation and Computation 0:0, pages 1-16.
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Abdul Haq, Mehwish Bibi & Jennifer Brown. (2021) Monitoring multivariate simple linear profiles using individual observations. Journal of Statistical Computation and Simulation 91:17, pages 3573-3592.
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Wei Zhao, Zhijun Wang & Chunjie Wu. (2021) Adaptive multivariate EWMA charts for monitoring sparse mean shifts based on parameter optimization design. Journal of Statistical Computation and Simulation 91:13, pages 2670-2683.
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Sven Knoth. (2021) Steady-state average run length(s): Methodology, formulas, and numerics. Sequential Analysis 40:3, pages 405-426.
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Francis G. Pascual & Sherzod B. Akhundjanov. (2021) Monitoring a bivariate INAR(1) process with application to Hepatitis A. Communications in Statistics - Theory and Methods 50:5, pages 1036-1058.
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Pavel Krupskii, Fouzi Harrou, Amanda S. Hering & Ying Sun. (2020) Copula-based monitoring schemes for non-Gaussian multivariate processes. Journal of Quality Technology 52:3, pages 219-234.
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Abdul Haq. (2020) One-sided and two one-sided MEWMA charts for monitoring process mean. Journal of Statistical Computation and Simulation 90:4, pages 699-718.
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Chang-Ho Jihn & M. Mujiya Ulkhaq. (2019) Parallel discretization of the Markov chain approximation for the autoregressive moving average chart. Communications in Statistics - Simulation and Computation 48:9, pages 2660-2678.
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Haojie Ren, Nan Chen & Zhaojun Wang. (2019) Phase-II monitoring in multichannel profile observations. Journal of Quality Technology 51:4, pages 338-352.
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Hoang M. Tran, Satish T. S. Bukkapatnam & Mridul Garg. (2019) Detecting changes in transient complex systems via dynamic network inference. IISE Transactions 51:3, pages 337-353.
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Abdul Haq. (2019) Weighted adaptive multivariate CUSUM charts with variable sampling intervals. Journal of Statistical Computation and Simulation 89:3, pages 478-491.
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Wenpo Huang, Lianjie Shu & Wei Jiang. (2018) A gradient approach to efficient design and analysis of multivariate EWMA control charts. Journal of Statistical Computation and Simulation 88:14, pages 2707-2725.
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María I. Flury & Marta B. Quaglino. (2018) Multivariate EWMA control chart with highly asymmetric gamma distributions. Quality Technology & Quantitative Management 15:2, pages 230-252.
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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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Wenjuan Liang, Zhongyu Liu, Lingzhu Jin & Hongjian Wang. (2017) Case study: statistical monitoring for the moisture content of the cut tobacco. Journal of Industrial and Production Engineering 34:8, pages 551-557.
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Canan Bilen, Anakaorn Khan & Wichai Chattinnawat. (2017) Dual-monitoring scheme for multivariate autocorrelated cascade processes with EWMA and MEWMA charts. Quality Technology & Quantitative Management 14:2, pages 156-177.
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Sangahn Kim, Myong K. Jeong & Elsayed A. Elsayed. (2017) Generalized smoothing parameters of a multivariate EWMA control chart. IISE Transactions 49:1, pages 58-69.
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Sven Knoth. (2017) ARL Numerics for MEWMA Charts. Journal of Quality Technology 49:1, pages 78-89.
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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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Shih-Hsiung Chou, Shing I. Chang & Tzong-Ru Tsai. (2014) On monitoring of multiple non-linear profiles. International Journal of Production Research 52:11, pages 3209-3224.
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Bianca M. Colosimo, Paolo Cicorella, Massimo Pacella & Marzia Blaco. (2014) From Profile to Surface Monitoring: SPC for Cylindrical Surfaces Via Gaussian Processes. Journal of Quality Technology 46:2, pages 95-113.
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Ick Huh, Román Viveros-Aguilera & Narayanaswamy Balakrishnan. (2013) Differential Smoothing in the Bivariate Exponentially Weighted Moving Average Chart. Journal of Quality Technology 45:4, pages 377-393.
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Shuguang He, Gang Alan Wang, Min Zhang & Deborah F. Cook. (2013) Multivariate process monitoring and fault identification using multiple decision tree classifiers. International Journal of Production Research 51:11, pages 3355-3371.
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Eugenio K. Epprecht, Marco A. de Luna & Francisco Aparisi. (2011) Joint EWMA charts for multivariate process control: Markov chain and optimal design. International Journal of Production Research 49:23, pages 7151-7169.
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Giovanna Capizzi & Guido Masarotto. (2011) A Least Angle Regression Control Chart for Multidimensional Data. Technometrics 53:3, pages 285-296.
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Changliang Zou & Fugee Tsung. (2011) A Multivariate Sign EWMA Control Chart. Technometrics 53:1, pages 84-97.
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M.A. Mahmoud & P.E. Maravelakis. (2010) The Performance of the MEWMA Control Chart when Parameters are Estimated. Communications in Statistics - Simulation and Computation 39:9, pages 1803-1817.
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M. H. Lee. (2010) Multivariate EWMA Control Chart with Adaptive Sample Sizes. Communications in Statistics - Simulation and Computation 39:8, pages 1548-1561.
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H. Brian Hwarng & Yu Wang. (2010) Shift detection and source identification in multivariate autocorrelated processes. International Journal of Production Research 48:3, pages 835-859.
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Changliang Zou & Peihua Qiu. (2009) Multivariate Statistical Process Control Using LASSO. Journal of the American Statistical Association 104:488, pages 1586-1596.
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Jianbo Yu & Lifeng Xi. (2009) A hybrid learning-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes. International Journal of Production Research 47:15, pages 4077-4108.
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Ming Jin & Fugee Tsung. (2009) A chart allocation strategy for multistage processes. IIE Transactions 41:9, pages 790-803.
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Xia Pan. (2009) A Comparison Between Two Multivariate EWMA Schemes. Communications in Statistics - Simulation and Computation 38:6, pages 1235-1243.
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Francisco Aparisi & MarcoA. de Luna. (2009) The Design and Performance of the Multivariate Synthetic-T 2 Control Chart. Communications in Statistics - Theory and Methods 38:2, pages 173-192.
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Guoxi Zhang & Shing I. Chang. (2008) Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis. International Journal of Production Research 46:24, pages 6855-6881.
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Changliang Zou & Fugee Tsung. (2008) Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis. Journal of Quality Technology 40:4, pages 407-427.
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Douglas M. Hawkins & Edgard M. Maboudou-Tchao. (2008) Multivariate Exponentially Weighted Moving Covariance Matrix. Technometrics 50:2, pages 155-166.
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H. B. Hwarng. (2008) Toward identifying the source of mean shifts in multivariate SPC: a neural network approach. International Journal of Production Research 46:20, pages 5531-5559.
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Changliang Zou, Fugee Tsung & Zhaojun Wang. (2007) Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes. Technometrics 49:4, pages 395-408.
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Paul Zantek, Shan Li & Yong Chen. (2007) Detecting multiple special causes from multivariate data with applications to fault detection in manufacturing. IIE Transactions 39:8, pages 771-782.
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Marianne Frisén & Christian Sonesson. (2006) Optimal Surveillance Based on Exponentially Weighted Moving Averages. Sequential Analysis 25:4, pages 379-403.
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M. H. Lee & MichaelB. C. Khoo. (2006) Optimal Statistical Design of a Multivariate EWMA Chart Based on ARL and MRL. Communications in Statistics - Simulation and Computation 35:3, pages 831-847.
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Covariance Matrix, Marion R. Reynolds$suffix/text()$suffix/text() & Gyo-Young Cho. (2006) Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix. Journal of Quality Technology 38:3, pages 230-253.
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Arthur B. Yeh, Longcheen Huwang & Chien-Wei Wu. (2005) A multivariate EWMA control chart for monitoring process variability with individual observations. IIE Transactions 37:11, pages 1023-1035.
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Keunpyo Kim & Marion R. Reynolds$suffix/text()$suffix/text(). (2005) Multivariate Monitoring Using an MEWMA Control Chart with Unequal Sample Sizes. Journal of Quality Technology 37:4, pages 267-281.
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DAVID HE & ARSEN GRIGORYAN. (2005) Multivariate multiple sampling charts. IIE Transactions 37:6, pages 509-521.
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ARTHURB. YEH, LONGCHEEN HUWANG & YU-FANG WU. (2004) A likelihood-ratio-based EWMA control chart for monitoring variability of multivariate normal processes. IIE Transactions 36:9, pages 865-879.
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Michael B. C. Khoo. (2003) Increasing the Sensitivity of Multivariate EWMA Control Chart. Quality Engineering 16:1, pages 75-85.
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ENRIQUE DEL CASTILLO & RAMKUMAR RAJAGOPAL. (2002) A multivariate double EWMA process adjustment scheme for drifting processes. IIE Transactions 34:12, pages 1055-1068.
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Zachary G. Stoumbos & Joe H. Sullivan. (2002) Robustness to Non-Normality of the Multivariate EWMA Control Chart. Journal of Quality Technology 34:3, pages 260-276.
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Christina M. Mastrangelo & David R. Forrest. (2002) Multivariate Autocorrelated Processes: Data and Shift Generation. Journal of Quality Technology 34:2, pages 216-220.
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Joe H Sullivan & L. Allison Jones. (2002) A Self-Starting Control Chart for Multivariate Individual Observations. Technometrics 44:1, pages 24-33.
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W. E. Molnau, G. C. Runger, D. C. Montgomery, K. R. Skinner, E. N. Loredo & S. S. Prabhu. (2001) A Program for ARL Calculation for Multivariate EWMA Charts. Journal of Quality Technology 33:4, pages 515-521.
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S. J. Lee & Ping Sa. (2001) Tolerance limits as a continuous assessment tool. Total Quality Management 12:4, pages 491-510.
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Lan Kang & Susan L. Albin. (2000) On-Line Monitoring When the Process Yields a Linear Profile. Journal of Quality Technology 32:4, pages 418-426.
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Fassó Alessandro. (1999) One‐sided mewama control charts. Communications in Statistics - Simulation and Computation 28:2, pages 381-401.
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Kevin M. Bodden & Steven E. Rigdon. (1999) A Program for Approximating the In-Control ARL for the MEWMA Chart. Journal of Quality Technology 31:1, pages 120-123.
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Linzi Liu, Xin Lai, Xiaofang Cai, Wei (Wayne) Huang & Weimin Miao. Proposing an innovative real-time monitoring approach for the parameter stability of credit-default prediction model. Journal of the Operational Research Society 0:0, pages 1-12.
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