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Quality Technology & Quantitative Management Volume 14, 2017 - Issue 4: Advances in the Theory and Application of Statistical Process Control
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Original Articles

Mixed Tukey EWMA-CUSUM control chart and its applications

Muhammad RiazDepartment of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaCorrespondence[email protected]
,
Qurat-Ul-Ain KhaliqDepartment of Statistics, Allama Iqbal Open University, Islamabad, Pakistan
&
Shahla GulDepartment of Education, University of Arid Agriculture, Rawalpindi, Pakistan
Pages 378-411 | Accepted 06 Mar 2017, Published online: 17 Apr 2017

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Read on this site (6)

Selcem Adsız & Burcu Aytaçoğlu. (2023) Tukey-EWMA control chart with variable sampling intervals for process monitoring. Quality Engineering 0:0, pages 1-24.
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Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Víctor G. Tercero-Gómez. (2023) A critique of a variety of “memory-based” process monitoring methods. Journal of Quality Technology 55:1, pages 18-42.
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Anan Tang, Xuelong Hu, Fupeng Xie & Xiaojian Zhou. (2022) Nonparametric adaptive EWMA-type control chart with variable sampling intervals. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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Zameer Abbas, Hafiz Zafar Nazir, Muhammad Abid, Noureen Akhtar & Muhammad Riaz. (2021) Nonparametric progressive sign chart for monitoring process location based on individual data. Quality Technology & Quantitative Management 18:2, pages 225-247.
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Muhammad Ali Raza, Tahir Nawaz & Dong Han. (2019) On designing new optimal synthetic Tukey’s control charts. Journal of Statistical Computation and Simulation 89:12, pages 2218-2238.
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Ishaq Adeyanju Raji, Muhammad Riaz & Nasir Abbas. (2019) Robust dual-CUSUM control charts for contaminated processes. Communications in Statistics - Simulation and Computation 48:7, pages 2177-2190.
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Articles from other publishers (19)

Yasar Mahmood, Michael B.C. Khoo, Sin Yin Teh & Ming Ha Lee. (2023) Robust Shewhart-CUSUM design for monitoring process mean using repetitive sampling. Computers & Industrial Engineering 180, pages 109246.
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Khanittha Talordphop, Saowanit Sukparungsee & Yupaporn Areepong. (2022) Performance of new nonparametric Tukey modified exponentially weighted moving average—Moving average control chart. PLOS ONE 17:9, pages e0275260.
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Yasar Mahmood, Michael B.C. Khoo, Sin Yin Teh & Sajal Saha. (2022) On designing TEWMA-Tukey control charts for normal and non-normal processes using single and repetitive sampling schemes. Computers & Industrial Engineering 170, pages 108343.
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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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Anan Tang, Yuanman Ma, Xuelong Hu & Weidong Huang. (2022) The exact statistical properties of a signed‐rank‐based adaptive exponential weighted moving average chart. Quality and Reliability Engineering International 38:5, pages 2781-2794.
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Nongnuch Saengsura, Saowanit Sukparungsee & Yupaporn Areepong. (2022) Mixed Moving Average-Cumulative Sum Control Chart for Monitoring Parameter Change. Intelligent Automation & Soft Computing 31:1, pages 635-647.
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Jing-Er Chiu & Cheng-Han Tsai. (2021) On-line concurrent control chart pattern recognition using singular spectrum analysis and random forest. Computers & Industrial Engineering 159, pages 107538.
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Dejun Miao, Kai Yu, Lujie Zhou, Yu Chen, Weiqiang Jin & Hu Chen. (2021) Dynamic risks hierarchical management and control technology of coal chemical enterprises. Journal of Loss Prevention in the Process Industries 71, pages 104466.
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Ioannis S. Triantafyllou & Mangey Ram. (2021) Nonparametric EWMA-Type Control Charts for Monitoring Industrial Processes: An Overview. International Journal of Mathematical, Engineering and Management Sciences 6:3, pages 708-751.
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Rattikarn Taboran, Saowanit Sukparungsee & Yupaporn Areepong. (2021) Design of a New Tukey MA-DEWMA Control Chart to Monitor Process and its Applications. IEEE Access 9, pages 102746-102757.
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Rattikarn Taboran, Saowanit Sukparungsee & Yupaporn Areepong. (2020) A New Nonparametric Tukey MA-EWMA Control Charts for Detecting Mean Shifts. IEEE Access 8, pages 207249-207259.
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Afshan Riaz, Muhammad Noor-ul-Amin, Muhammad Ahmed Shehzad & Muhammad Ismail. (2019) Auxiliary Information Based Mixed EWMA–CUSUM Mean Control Chart with Measurement Error. Iranian Journal of Science and Technology, Transactions A: Science 43:6, pages 2937-2949.
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Muhammad Riaz, Muhammad Abid, Hafiz Zafar Nazir & Saddam Akber Abbasi. (2019) An enhanced nonparametric EWMA sign control chart using sequential mechanism. PLOS ONE 14:11, pages e0225330.
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Amitava Mukherjee, Zhi Lin Chong & Michael B.C. Khoo. (2019) Comparisons of some distribution-free CUSUM and EWMA schemes and their applications in monitoring impurity in mining process flotation. Computers & Industrial Engineering 137, pages 106059.
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Abdul Haq & Lubna Bibi. (2019) A new dual CUSUM mean chart. Quality and Reliability Engineering International 35:4, pages 1245-1262.
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Muhammad Aslam, G. Rao, Ali AL-Marshadi & Chi-Hyuck Jun. (2019) A Nonparametric HEWMA-p Control Chart for Variance in Monitoring Processes. Symmetry 11:3, pages 356.
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Yung-Chia Chang, Kuei-Hu Chang, Mu-Chien Lee & Kuo-Hao Tsao. (2019) Using Exponentially Weighted Moving Average to Improve Buffer Adjustment of Demand-Driven Replenishment Strategies. Journal of Testing and Evaluation 47:1, pages 20170346.
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Muhammad Mughal, Muhammad Azam & Muhammad Aslam. (2018) An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information. Technologies 6:3, pages 69.
Crossref
Mahfuza Khatun, Michael B.C. Khoo, W.C. Yeong, W.L. Teoh & Z.L. Chong. (2018) Adaptive multivariate double sampling and variable sampling interval Hotelling's T 2 charts . Quality and Reliability Engineering International 34:5, pages 894-911.
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