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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 40, 2008 - Issue 3
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Articles

A New EWMA Chart for Monitoring Process Dispersion

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Pages 319-331 | Published online: 21 Nov 2017

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Read on this site (18)

XueLong Hu, SuYing Zhang, XiaoJian Zhou, AnAn Tang & FuPeng Xie. (2024) The performance of double exponentially weighted moving average control charts for monitoring the coefficient of variation. Communications in Statistics - Simulation and Computation 53:4, pages 1779-1798.
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XueLong Hu, SuYing Zhang, FuPeng Xie & Zhi Song. (2024) Triple exponentially weighted moving average control charts without or with variable sampling interval for monitoring the coefficient of variation. Journal of Statistical Computation and Simulation 94:3, pages 536-570.
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Jen-Hsiang Chen, Shin-Li Lu & Chien-Tzu Liao. (2023) An enhanced sum of squares generally weighted moving average chart based on auxiliary information for process monitoring. Journal of Statistical Computation and Simulation 93:1, pages 188-208.
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FuPeng Xie, Philippe Castagliola, YuLong Qiao, XueLong Hu & JinSheng Sun. (2022) A one-sided exponentially weighted moving average control chart for time between events. Journal of Applied Statistics 49:15, pages 3928-3957.
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FuPeng Xie, Philippe Castagliola, Zhonghua Li, JinSheng Sun & XueLong Hu. (2022) One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts. Quality Technology & Quantitative Management 19:5, pages 533-561.
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Shashibhushan B. Mahadik, Dadasaheb G. Godase & W. L. Teoh. (2021) A two-sided SPRT control chart for process dispersion. Journal of Statistical Computation and Simulation 91:17, pages 3603-3614.
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Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2021) A S 2-GWMA control chart for monitoring the process variability. Quality Engineering 33:3, pages 533-551.
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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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Waqas Munir & Abdul Haq. (2017) New cumulative sum control charts for monitoring process variability. Journal of Statistical Computation and Simulation 87:15, pages 2882-2899.
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Jiujun Zhang, Chuan He, Zhonghua Li & Zhaojun Wang. (2017) Likelihood ratio test-based chart for monitoring the process variability. Communications in Statistics - Simulation and Computation 46:1, pages 704-728.
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Qin Zhou, Lianjie Shu & Wei Jiang. (2016) One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes. Communications in Statistics - Theory and Methods 45:20, pages 6112-6132.
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Yi-Hua Tina Wang & Hsiuying Wang. (2016) On the monitoring of mixture simple linear profiles. Journal of Statistical Computation and Simulation 86:15, pages 3009-3024.
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Raja Fawad Zafar, Nasir Abbas, Muhammad Riaz & Zawar Hussain. (2014) Progressive Variance Control Charts for Monitoring Process Dispersion. Communications in Statistics - Theory and Methods 43:23, pages 4893-4907.
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Ulrich Menzefricke. (2013) Combined Exponentially Weighted Moving Average Charts for the Mean and Variance Based on the Predictive Distribution. Communications in Statistics - Theory and Methods 42:22, pages 4003-4016.
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Saddam Akber Abbasi & Arden Miller. (2013) MDEWMA chart: an efficient and robust alternative to monitor process dispersion. Journal of Statistical Computation and Simulation 83:2, pages 247-268.
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Lianjie Shu, Wei Jiang & Zhang Wu. (2012) Exponentially weighted moving average control charts for monitoring increases in Poisson rate. IIE Transactions 44:9, pages 711-723.
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Saddam Akber Abbasi. (2010) On the Performance of EWMA Chart in the Presence of Two-Component Measurement Error. Quality Engineering 22:3, pages 199-213.
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Articles from other publishers (53)

Suying Zhang, Xuelong Hu, Jianjun Wang, Panpan Zhou & Xiaolei Ren. (2024) Optimal design of adaptive EWMA monitoring schemes for the coefficient of variation and performance evaluation with measurement errors. Computers & Industrial Engineering 191, pages 110107.
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Zahid Rasheed, Hongying Zhang, Syed Masroor Anwar, Muhammad Noor-ul-Amin, Nurudeen A. Adegoke & Saddam Akber Abbasi. (2024) Designing efficient dispersion control charts under various ranked-set sampling approaches. Journal of Computational and Applied Mathematics 441, pages 115680.
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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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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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Majid Khan, Zahid Rasheed, Syed Masroor Anwar & Jimmy Joseph Namangale. (2023) Triple Homogeneously Weighted Moving Average Charts for Monitoring Process Dispersion. Mathematical Problems in Engineering 2023, pages 1-34.
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Honghao Zhao, Huajun Tang, Chuan Pang & Huimin Jiang. (2022) A Markov Chain Model for Approximating the Run Length Distributions of Poisson EWMA Charts under Linear Drifts. Mathematics 10:24, pages 4786.
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XueLong Hu, SuYing Zhang, FuPeng Xie, AnAn Tang & JianLan Zhong. (2022) On designing the two one-sided mixed EWMA-CUSUM monitoring schemes for the coefficient of variation with an application to the sintering process. Computers & Industrial Engineering 169, pages 108212.
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Noureen Akhtar, Muhammad Abid, Muhammad Wasim Amir, Zameer Abbas, Hafiz Zafar Nazir, Zeeshan Raza & Muhammad Riaz. (2021) Design and analysis of exponentially weighted moving average control charts for monitoring the variability of log‐normal processes with estimated parameters. Quality and Reliability Engineering International 38:4, pages 1590-1611.
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Muhammad Aslam, Syed Masroor Anwar, Majid Khan, Nafiu Lukman Abiodun & Zahid Rasheed. (2022) Efficient Auxiliary Information–Based Control Charting Schemes for the Process Dispersion with Application of Glass Manufacturing Industry. Mathematical Problems in Engineering 2022, pages 1-21.
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Abdul Haq & Faiqa Razzaq. (2021) New weighted adaptive CUSUM dispersion charts. Quality and Reliability Engineering International 38:1, pages 110-133.
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Xuelong Hu, Suying Zhang, Guan Sun, Jianlan Zhong & Shu Wu. (2022) Modified One-Sided EWMA Charts without- and with Variable Sampling Intervals for Monitoring a Normal Process. Symmetry 14:1, pages 159.
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Xuechen Liu, Majid Khan, Zahid Rasheed, Syed Masroor Anwar & Muhammad Arslan. (2022) New Hybrid EWMA Charts for Efficient Process Dispersion Monitoring with Application in Automobile Industry. Computer Modeling in Engineering & Sciences 131:2, pages 1171-1195.
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Shin‐Li Lu, Jen‐Hsiang Chen & Su‐Fen Yang. (2021) Auxiliary information‐based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability. Quality and Reliability Engineering International 37:8, pages 3242-3261.
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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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Rui Chen, Li Jin, Zhonghua Li & Jiujun Zhang. (2021) A progressive approach for the detection of the coefficient of variation. Quality and Reliability Engineering International 37:6, pages 2587-2602.
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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2020) A new S2‐TEWMA control chart for monitoring process dispersion. Quality and Reliability Engineering International 37:4, pages 1334-1354.
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Jimoh Olawale Ajadi, Inez Maria Zwetsloot & Kwok-Leung Tsui. (2021) A New Robust Multivariate EWMA Dispersion Control Chart for Individual Observations. Mathematics 9:9, pages 1038.
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Sheikh Y. Arafat, M. Pear Hossain, Jimoh Olawale Ajadi & Muhammad Riaz. (2021) On the Development of EWMA Control Chart for Inverse Maxwell Distribution. Journal of Testing and Evaluation 49:2, pages 1086-1103.
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Muhammad Riaz, Saddam Akber Abbasi, Muhammad Abid & Abdulhammed K. Hamzat. (2020) A New HWMA Dispersion Control Chart with an Application to Wind Farm Data. Mathematics 8:12, pages 2136.
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Jen-Hsiang Chen & Shin-Li Lu. (2020) A New Sum of Squares Exponentially Weighted Moving Average Control Chart Using Auxiliary Information. Symmetry 12:11, pages 1888.
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Saddam Akber Abbasi, Muhammad Riaz, Shabbir Ahmad, Ridwan A. Sanusi & Muhammad Abid. (2020) New efficient exponentially weighted moving average variability charts based on auxiliary information. Quality and Reliability Engineering International 36:7, pages 2203-2224.
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Zhi Song, Amitava Mukherjee & Guihong Tao. (2020) A class of distribution-free one-sided Cucconi schemes for joint surveillance of location and scale parameters and their application in monitoring cab services. Computers & Industrial Engineering 148, pages 106625.
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Muhammad Abid, Hafiz Zafar Nazir, Muhammad Tahir, Muhammad Riaz & Tahir Abbas. (2020) A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data. Journal of Testing and Evaluation 48:1, pages 247-259.
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Olatunde A Adeoti. (2019) On control chart for monitoring exponentially distributed quality characteristic. Transactions of the Institute of Measurement and Control 42:2, pages 295-305.
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Rui Chen, Zhonghua Li & Jiujun Zhang. (2019) A generally weighted moving average control chart for monitoring the coefficient of variation. Applied Mathematical Modelling 70, pages 190-205.
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Jose Luis Alfaro & Juan Fco. Ortega. (2018) A new multivariate variability control chart based on a covariance matrix combination. Applied Stochastic Models in Business and Industry 35:3, pages 823-836.
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Shahid Hussain, Lixin Song, Shabbir Ahmad & Muhammad Riaz. (2018) New Interquartile Range EWMA Control Charts with Applications in Continuous Stirred Tank Rector Process. Arabian Journal for Science and Engineering 44:3, pages 2467-2485.
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Inez M. Zwetsloot & Jimoh Olawale Ajadi. (2019) A comparison of EWMA control charts for dispersion based on estimated parameters. Computers & Industrial Engineering 127, pages 436-450.
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Orlando Yesid Esparza Albarracin, Airlane Pereira Alencar & Linda Lee Ho. (2018) Effect of neglecting autocorrelation in regression EWMA charts for monitoring count time series. Quality and Reliability Engineering International 34:8, pages 1752-1762.
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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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Jiujun Zhang, Zhonghua Li & Zhaojun Wang. (2017) Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure. Quality and Reliability Engineering International 34:2, pages 188-202.
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Abdul Haq. (2017) New EWMA control charts for monitoring process dispersion using auxiliary information. Quality and Reliability Engineering International 33:8, pages 2597-2614.
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Rizwan Ali & Abdul Haq. (2017) New memory‐type dispersion control charts. Quality and Reliability Engineering International 33:8, pages 2131-2149.
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Babar Zaman, Nasir Abbas, Muhammed Riaz & Muhammad Hisyam Lee. (2016) Mixed CUSUM-EWMA chart for monitoring process dispersion. The International Journal of Advanced Manufacturing Technology 86:9-12, pages 3025-3039.
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Mu'azu Ramat Abujiya, Muhammad Riaz & Muhammad Hisyam Lee. (2015) A New Combined Shewhart–Cumulative Sum S Chart for Monitoring Process Standard Deviation . Quality and Reliability Engineering International 32:3, pages 1149-1165.
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Saddam Akber Abbasi, Muhammad Riaz, Arden Miller, Shabbir Ahmad & Hafiz Zafar Nazir. (2014) EWMA Dispersion Control Charts for Normal and Non‐normal Processes. Quality and Reliability Engineering International 31:8, pages 1691-1704.
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Abdul Haq, Jennifer Brown & Elena Moltchanova. (2014) A New Exponentially Weighted Moving Average Control Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 31:8, pages 1337-1357.
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Inez M. Zwetsloot, Marit Schoonhoven & Ronald J.M.M. Does. (2014) A Robust Phase I Exponentially Weighted Moving Average Chart for Dispersion. Quality and Reliability Engineering International 31:6, pages 989-999.
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Abdul Haq, Jennifer Brown & Elena Moltchanova. (2015) New Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Process Dispersion. Quality and Reliability Engineering International 31:5, pages 877-901.
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Abdul Haq, Jennifer Brown, Elena Moltchanova & Amer Ibrahim Al‐Omari. (2013) Improved Exponentially Weighted Moving Average Control Charts for Monitoring Process Mean and Dispersion. Quality and Reliability Engineering International 31:2, pages 217-237.
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Muhammad Riaz, Saddam Akber Abbasi, Shabbir Ahmad & Babar Zaman. (2013) On efficient phase II process monitoring charts. The International Journal of Advanced Manufacturing Technology 70:9-12, pages 2263-2274.
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Nasir Abbas, Muhammad Riaz & Ronald J. M. M. Does. (2012) CS‐EWMA Chart for Monitoring Process Dispersion. Quality and Reliability Engineering International 29:5, pages 653-663.
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Pei-Hsi Lee. (2013) Joint statistical design of and s charts with combined double sampling and variable sampling interval. European Journal of Operational Research 225:2, pages 285-297.
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Wenpo Huang, Lianjie Shu & Wei Jiang. (2012) Evaluation of exponentially weighted moving variance control chart subject to linear drifts. Computational Statistics & Data Analysis 56:12, pages 4278-4289.
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Yi‐Hua Tina Wang & Longcheen Huwang. (2012) On the Monitoring of Simple Linear Berkson Profiles. Quality and Reliability Engineering International 28:8, pages 949-965.
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Chia‐Ling Yen, Jyh‐Jen Horng Shiau & Arthur B. Yeh. (2011) Effective Control Charts for Monitoring Multivariate Process Dispersion. Quality and Reliability Engineering International 28:4, pages 409-426.
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Jiujun Zhang, Changliang Zou & Zhaojun Wang. (2011) An adaptive Shiryaev-Roberts procedure for monitoring dispersion. Computers & Industrial Engineering 61:4, pages 1166-1172.
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Jinfei Hu, Lianjie Shu, Peter Wai Tse & Kwok-Leung Tsui. (2011) A comparison of EWMA-type charts under linear drifts in Poisson means. A comparison of EWMA-type charts under linear drifts in Poisson means.
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