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Original Articles

An adaptive exponentially weighted moving average control chart for monitoring process variances

Pages 367-384 | Received 27 Aug 2006, Published online: 28 Mar 2008

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

Read on this site (14)

Abdul Haq & Anila Anis Abbasi. (2023) New weighted adaptive CUSUM charts for monitoring the generalized variance of a bivariate normal process. Journal of Statistical Computation and Simulation 93:4, pages 604-633.
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Willy Ugaz, Andrés M. Alonso & Ismael Sánchez. (2021) Adaptive EWMA-S2 control charts with adaptive smoothing parameter. Quality Engineering 33:1, pages 100-112.
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Abdul Haq & Michael B. C. Khoo. (2020) A parameter-free adaptive EWMA mean chart. Quality Technology & Quantitative Management 17:5, pages 528-543.
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Abdul Haq. (2020) A maximum adaptive exponentially weighted moving average control chart for monitoring process mean and variability. Quality Technology & Quantitative Management 17:1, pages 16-31.
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Anan Tang, Philippe Castagliola, Jinsheng Sun & Xuelong Hu. (2019) Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technology & Quantitative Management 16:4, pages 439-458.
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Anan Tang, Philippe Castagliola, Xuelong Hu & Jinsheng Sun. (2019) The adaptive EWMA median chart for known and estimated parameters. Journal of Statistical Computation and Simulation 89:5, pages 844-863.
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Reza Baradaran Kazemzadeh, Amirhossein Amiri & Behnoush Kouhestani. (2016) Monitoring simple linear profiles using variable sample size schemes. Journal of Statistical Computation and Simulation 86:15, pages 2923-2945.
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R. Zheng & S. Chakraborti. (2016) A Phase II nonparametric adaptive exponentially weighted moving average control chart. Quality Engineering 28:4, pages 476-490.
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Salah Haridy, Zhang Wu, Kazem Abhary, Philippe Castagliola & Mohammad Shamsuzzaman. (2014) Development of a multiattribute synthetic-np chart. Journal of Statistical Computation and Simulation 84:9, pages 1884-1903.
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Giovanna Capizzi & Guido Masarotto. (2010) Self-Starting CUSCORE Control Charts for Individual Multivariate Observations. Journal of Quality Technology 42:2, pages 136-151.
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Imad Khan, Muhammad Noor-ul-Amin, Muhammad Usman Aslam, Almetwally M. Mostafa & Bakhtiyar Ahmad. (2024) Process dispersion monitoring: Innovative AEWMA control chart in semiconductor manufacturing. AIP Advances 14:1.
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Tingwei Zhang, Ling Wu, Xiangnan Liu, Meiling Liu, Chen Chen, Baowen Yang, Yuqi Xu & Suchang Zhang. (2023) Detection of Forest Disturbances with Different Intensities Using Landsat Time Series Based on Adaptive Exponentially Weighted Moving Average Charts. Forests 15:1, pages 19.
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Aamir Saghir, XueLong Hu, Kim Phuc Tran & Zhi Song. (2023) Optimal design and evaluation of adaptive EWMA monitoring schemes for Inverse Maxwell distribution. Computers & Industrial Engineering 181, pages 109290.
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Muhammad Aslam, Majid Khan, Zahid Rasheed, Syed Masroor Anwar & Saddam Akber Abbasi. (2023) An improved adaptive EWMA control chart for monitoring time between events with application in health sector . Quality and Reliability Engineering International 39:4, pages 1396-1412.
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Babar Zaman, Syed Zeeshan Mahfooz, Rashid Mehmood, Naveed Khan & Tajammal Imran. (2023) An adaptive EWMA control chart based on Hampel function to monitor the process location parameter. Quality and Reliability Engineering International 39:4, pages 1277-1298.
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Abdul Haq, Umme Kalsoom & Michael B. C. Khoo. (2023) New EWMA charts for process variance. Quality and Reliability Engineering International 39:3, pages 871-904.
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Babar Zaman. (2022) Adaptive CUSUM control charts for efficient monitoring of process dispersion. Quality and Reliability Engineering International 38:5, pages 2273-2302.
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Abdul Haq & Michael B. C. Khoo. (2021) A novel partially parameter‐free adaptive multivariate EWMA mean chart. Quality and Reliability Engineering International 38:1, pages 574-591.
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Babar Zaman. (2021) Efficient adaptive CUSUM control charts based on generalized likelihood ratio test to monitor process dispersion shift. Quality and Reliability Engineering International 37:8, pages 3192-3220.
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Asma Arshad, Muhammad Noor‐ul‐Amin & Muhammad Hanif. (2021) Function‐based adaptive exponentially weighted moving average dispersion control chart. Quality and Reliability Engineering International 37:6, pages 2685-2698.
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Anan Tang, Philippe Castagliola, Xuelong Hu & Xiaojian Zhou. (2021) Optimal one‐ and two‐sided adaptive EWMA scheme for monitoring Poisson count data. Quality and Reliability Engineering International 37:5, pages 2248-2262.
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Qinkai Han, Zhentang Wang & Tao Hu. (2020) Novel Condition Monitoring Method for Wind Turbines Based on the Adaptive Multivariate Control Charts and SCADA Data. Shock and Vibration 2020, pages 1-16.
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Qinkai Han & Fulei Chu. 2020. Proceedings of the 13th International Conference on Damage Assessment of Structures. Proceedings of the 13th International Conference on Damage Assessment of Structures 606 617 .
Amitava Mitra, Kang Bok Lee & Subhabrata Chakraborti. (2019) An adaptive exponentially weighted moving average-type control chart to monitor the process mean. European Journal of Operational Research 279:3, pages 902-911.
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Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2019) An adaptive approach to EWMA dispersion chart using Huber and Tukey functions. Quality and Reliability Engineering International 35:6, pages 1542-1581.
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Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2019) An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring. Computers & Industrial Engineering 135, pages 236-253.
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Huang Teng, Xuelong Hu, Anan Tang, Wu Shu & Zhao Min. (2019) An adaptive EWMA median chart for monitoring the process mean. An adaptive EWMA median chart for monitoring the process mean.
Anan Tang, Philippe Castagliola, Xuelong Hu & Jinsheng Sun. (2018) The performance of the adaptive EWMA median chart in the presence of measurement error. Quality and Reliability Engineering International 35:1, pages 423-438.
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Imen Baklouti, Majdi Mansouri, Ahmed Ben Hamida, Hazem Nounou & Mohamed Nounou. (2018) Novel Fault Detection Approach of Biological Wastewater Treatment Plants. Novel Fault Detection Approach of Biological Wastewater Treatment Plants.
Imen Baklouti, Majdi Mansouri, Ahmed Ben Hamida, Hazem Nounou & Mohamed Nounou. (2018) Max-Double Adaptive EWMA for Fault Detection of Wastewater Treatment Plants. Max-Double Adaptive EWMA for Fault Detection of Wastewater Treatment Plants.
Abdul Haq. (2018) A new adaptive EWMA control chart for monitoring the process dispersion. Quality and Reliability Engineering International 34:5, pages 846-857.
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Anan Tang, Philippe Castagliola, JinSheng Sun & XueLong Hu. (2018) The effect of measurement errors on the adaptive EWMA chart. Quality and Reliability Engineering International 34:4, pages 609-630.
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Anan Tang, Philippe Castagliola, Jinsheng Sun & XueLong Hu. (2017) An adaptive exponentially weighted moving average chart for the mean with variable sampling intervals. Quality and Reliability Engineering International 33:8, pages 2023-2034.
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Zhiyuan Chang & Jinsheng Sun. (2016) AEWMA t Control Chart for Short Production Runs. Journal of Systems Science and Information 4:5, pages 444-459.
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Chang Zhiyuan & Sun Jinsheng. (2015) Optimal design of AEWMA control chart with new sampling strategy. Optimal design of AEWMA control chart with new sampling strategy.
Nan-Cheng Su, Jyun-You Chiang, Sheau-Chiann Chen, Tzong-Ru Tsai & Yu Shyr. (2014) Economic design of two-stage control charts with skewed and dependent measurements. The International Journal of Advanced Manufacturing Technology 73:9-12, pages 1387-1397.
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Yan Su, Lianjie Shu & Kwok-Leung Tsui. (2011) Adaptive EWMA procedures for monitoring processes subject to linear drifts. Computational Statistics & Data Analysis 55:10, pages 2819-2829.
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Giovanna Capizzi & Guido Masarotto. (2010) Linear profile monitoring using an adaptive EWMA control chart. Linear profile monitoring using an adaptive EWMA control chart.

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