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Original Articles

The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart

Pages 1785-1793 | Received 29 May 2011, Accepted 31 Aug 2011, Published online: 18 May 2012

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (11)

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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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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Ming Ha Lee & Michael B. C. Khoo. (2017) Optimal design of synthetic np control chart based on median run length. Communications in Statistics - Theory and Methods 46:17, pages 8544-8556.
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Ming Ha Lee & Michael B. C. Khoo. (2017) Synthetic double sampling s chart. Communications in Statistics - Theory and Methods 46:12, pages 5914-5931.
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Yuan Cheng, Amitava Mukherjee & Min Xie. (2017) Simultaneously monitoring frequency and magnitude of events based on bivariate gamma distribution. Journal of Statistical Computation and Simulation 87:9, pages 1723-1741.
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Ming Ha Lee & Michael B. C. Khoo. (2017) Optimal designs of multivariate synthetic |S| control chart based on median run length. Communications in Statistics - Theory and Methods 46:6, pages 3034-3053.
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Wai Chung Yeong, Michael B. C. Khoo, M. Shamsuzzaman & Philippe Castagliola. (2016) Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate Synthetic T Chart. Communications in Statistics - Simulation and Computation 45:7, pages 2541-2561.
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Maoyuan Zhou, Xuemin Zi, Wei Geng & Zhonghua Li. (2015) A Distribution-free Multivariate Change-point Model for Statistical Process Control. Communications in Statistics - Simulation and Computation 44:8, pages 1975-1987.
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Xiaosong Wu, Rui Miao, Zefeng Li, Jie Ren, Jie Zhang, Zhibin Jiang & Xuening Chu. (2015) Process monitoring research with various estimator-based MEWMA control charts. International Journal of Production Research 53:14, pages 4337-4350.
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Maoyuan Zhou, Liu Liu, Wei Geng & Jie Zhou. (2015) Multivariate Control Chart Based on Multivariate Smirnov Test. Communications in Statistics - Simulation and Computation 44:6, pages 1600-1611.
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Ming Ha Lee & Michael B. C. Khoo. (2015) Multivariate Synthetic |S| Control Chart with Variable Sampling Interval. Communications in Statistics - Simulation and Computation 44:4, pages 924-942.
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Articles from other publishers (7)

FuPeng Xie, Amitava Mukherjee, JinSheng Sun, AnAn Tang & XueLong Hu. (2021) A synthetic multivariate exponentially weighted moving average scheme for monitoring of bivariate Gamma distributed processes. Quality and Reliability Engineering International 38:2, pages 848-876.
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Abdul Haq & Michael B.C. Khoo. (2021) Enhanced directionally sensitive and directionally invariant MCUSUM and MEWMA charts for process mean. Computers & Industrial Engineering 161, pages 107635.
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Abdul Haq & Komal Sohrab. (2021) Directionally sensitive MCUSUM mean charts. Quality and Reliability Engineering International 37:5, pages 2169-2188.
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Athanasios C. Rakitzis, Subhabrata Chakraborti, Sandile C. Shongwe, Marien A. Graham & Michael Boon Chong Khoo. (2019) An overview of synthetic‐type control charts: Techniques and methodology. Quality and Reliability Engineering International.
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Abdul Haq. (2018) Weighted adaptive multivariate CUSUM control charts. Quality and Reliability Engineering International 34:5, pages 939-952.
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Ming Ha Lee, Michael B. C. Khoo & Min Xie. (2014) An Optimal Control Procedure based on Multivariate Synthetic Cumulative Sum. Quality and Reliability Engineering International 30:7, pages 1049-1058.
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Zhi Lin Chong, Michael B.C. Khoo & Philippe Castagliola. (2014) Synthetic double sampling np control chart for attributes. Computers & Industrial Engineering 75, pages 157-169.
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