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Original Articles

Semicircle Control Chart for Variables Data

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Pages 441-446 | Published online: 22 Jan 2007

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Hidayatul Khusna, Muhammad Mashuri, Muhammad Ahsan, Suhartono Suhartono & Dedy Dwi Prastyo. (2020) Bootstrap-based maximum multivariate CUSUM control chart. Quality Technology & Quantitative Management 17:1, pages 52-74.
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Hidayatul Khusna, Muhammad Mashuri, Suhartono, Dedy Dwi Prastyo, Muhammad Hisyam Lee & Muhammad Ahsan. (2019) Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes. Production & Manufacturing Research 7:1, pages 364-394.
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Zhi Song, Yanchun Liu, Zhonghua Li & Jiujun Zhang. (2018) A weighted likelihood ratio test-based chart for monitoring process mean and variability. Journal of Statistical Computation and Simulation 88:7, pages 1415-1436.
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S. Abedin Daryabari, S. Mohammad Hashemian, Ali Keyvandarian & Shekary A. Maryam. (2017) The effects of measurement error on the MAX EWMAMS control chart. Communications in Statistics - Theory and Methods 46:12, pages 5766-5778.
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Hyo-Il Park. (2015) Simultaneous Test for the Mean and Variance With an Application to the Statistical Process Control. Journal of Statistical Theory and Practice 9:4, pages 868-881.
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Chi-Jui Huang. (2015) A New GWMA Control Chart for Monitoring Process Mean and Variability. Communications in Statistics - Theory and Methods 44:18, pages 3841-3856.
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Chi-Jui Huang. (2014) A Sum of Squares Generally Weighted Moving Average Control Chart. Communications in Statistics - Theory and Methods 43:23, pages 5052-5071.
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Hung-Chia Chen, Arthur B. Yeh, Chia-Ling Yen & Lin-An Chen. (2012) The density control chart: a general approach for constructing a single chart for simultaneously monitoring multiple parameters. International Journal of Production Research 50:14, pages 3904-3919.
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Douglas M. Hawkins & Qiqi Deng. (2009) Combined Charts for Mean and Variance Information. Journal of Quality Technology 41:4, pages 415-425.
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Antonio F. B. Costa, Maysa S. de Magalhães & Eugenio K. Epprecht. (2009) Monitoring the process mean and variance using a synthetic control chart with two-stage testing. International Journal of Production Research 47:18, pages 5067-5086.
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Jing-Er Chiu, Tsu-Yu Juang, Tsen-I Kuo & Tong-Yuan Koo. (2007) MONITORING THE AVERAGE AND VARIABILITY IN MULTIVARIATE PROCESS. Journal of the Chinese Institute of Industrial Engineers 24:3, pages 252-258.
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MichaelB. C. Khoo. (2005) Two Modified Semicircle Control Charts for Detecting Process Improvement. Quality Engineering 17:3, pages 453-458.
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Articles from other publishers (33)

Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2021) A new double exponentially weighted moving average control chart for monitoring both location and dispersion. Quality and Reliability Engineering International 38:4, pages 1687-1712.
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Zhi Song, Amitava Mukherjee, Ning Ma & Jiujun Zhang. (2021) A class of new nonparametric circular‐grid charts for signal classification. Quality and Reliability Engineering International 37:6, pages 2738-2759.
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Rumaisa Kruba, Muhammad Mashuri & Dedy Dwi Prastyo. (2021) The effectiveness of Max‐half‐Mchart over Max‐Mchart in simultaneously monitoring process mean and variability of individual observations. Quality and Reliability Engineering International 37:6, pages 2334-2347.
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Li Xue & Zhen He. (2021) Economic Design of EWMA Control Charts with Variable Sampling Intervals for Monitoring the Mean and Standard Deviation under Preventive Maintenance and Taguchi’s Loss Functions. Mathematical Problems in Engineering 2021, pages 1-14.
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Qi Li, Amitava Mukherjee, Zhi Song & Jiujun Zhang. (2021) Phase-II monitoring of exponentially distributed process based on Type-II censored data for a possible shift in location–scale. Journal of Computational and Applied Mathematics 389, pages 113315.
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Rumaisa Kruba, Muhammad Mashuri & Dedy Dwi Prastyo. (2021) Max-Half-Mchart: A Simultaneous Control Chart Using a Half-Normal Distribution for Subgroup Observations. IEEE Access 9, pages 105369-105381.
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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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Raja Fawad Zafar, Tahir Mahmood, Nasir Abbas, Muhammad Riaz & Zawar Hussain. (2018) A progressive approach to joint monitoring of process parameters. Computers & Industrial Engineering 115, pages 253-268.
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Reza Ghashghaei & Amirhossein Amiri. (2017) Sum of Squares Control Charts for Monitoring of Multivariate Multiple Linear Regression Profiles in Phase II. Quality and Reliability Engineering International 33:4, pages 767-784.
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Amitava Mukherjee & Marco Marozzi. (2017) Distribution-free Lepage Type Circular-grid Charts for Joint Monitoring of Location and Scale Parameters of a Process. Quality and Reliability Engineering International 33:2, pages 241-274.
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Amirhossein Amiri, Reza Ghashghaei & Peyman Khosravi. (2016) A self-starting control chart for simultaneous monitoring of mean and variance of autocorrelated simple linear profile. A self-starting control chart for simultaneous monitoring of mean and variance of autocorrelated simple linear profile.
Hong Mao & Smiley W. Cheng. (2016) A New Control Technique with Quality Characteristic Shifting with Time. Quality and Reliability Engineering International 32:5, pages 1627-1635.
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Wenjuan Liang, Xiaolong Pu & Yan Li. (2015) A New EWMA Chart Based on Weighted Loss Function for Monitoring the Process Mean and Variance. Quality and Reliability Engineering International 31:6, pages 905-916.
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Myunggoo Kang & Jangtaek Lee. (2015) A comparison of single charts for non-normal data. Journal of the Korean Data and Information Science Society 26:3, pages 729-738.
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Hyo Il Park. (2014) Combined Charts for the Mean and Variance. Advanced Materials Research 909, pages 352-355.
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Ming-Hung Shu, Thanh-Lam Nguyen & Bi-Min Hsu. (2014) Fuzzy MaxGWMA chart for identifying abnormal variations of on-line manufacturing processes with imprecise information. Expert Systems with Applications 41:4, pages 1342-1356.
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S. Chowdhury, A. Mukherjee & S. Chakraborti. (2014) A New Distribution-free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions. Quality and Reliability Engineering International 30:2, pages 191-204.
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Reza Baradaran Kazemzadeh, Mahdi Karbasian & Mohammad Ali Babakhani. (2012) An EWMA t chart with variable sampling intervals for monitoring the process mean. The International Journal of Advanced Manufacturing Technology 66:1-4, pages 125-139.
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Bi-Min Hsu, Thanh-Lam Nguyen, Ming-Hung Shu & Ying-Fang Huang. 2013. Computational Science and Its Applications – ICCSA 2013. Computational Science and Its Applications – ICCSA 2013 380 390 .
Jean‐François Plante & Gitte Bjørg Windfeldt. (2013) Using Predictive Risk for Process Control. Australian & New Zealand Journal of Statistics 54:4, pages 485-504.
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A. Mukherjee & S. Chakraborti. (2012) A Distribution-free Control Chart for the Joint Monitoring of Location and Scale. Quality and Reliability Engineering International 28:3, pages 335-352.
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S.Y. Teh, Michael B.C. Khoo & Z. Wu. (2011) A sum of squares double exponentially weighted moving average chart. Computers & Industrial Engineering 61:4, pages 1173-1188.
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Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 87 155 .
Ahmad Ostadsharif Memar & Seyed Taghi Akhavan Niaki. (2011) The Max EWMAMS control chart for joint monitoring of process mean and variance with individual observations. Quality and Reliability Engineering International 27:4, pages 499-514.
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Daniel Duret, Maurice Pillet, Alain Sergent & Dimitri Denimal. 2010. Product Lifecycle Management. Product Lifecycle Management 345 354 .
Michael Boon Chong Khoo, Zhang Wu, Chung-Ho Chen & Kah Wai Yeong. (2009) Using one EWMA chart to jointly monitor the process mean and variance. Computational Statistics 25:2, pages 299-316.
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Smiley W. Cheng & Keoagile Thaga. 2010. Frontiers in Statistical Quality Control 9. Frontiers in Statistical Quality Control 9 85 98 .
Lingyun Zhang, Gemai Chen & Philippe Castagliola. (2009) On t and EWMA t charts for monitoring changes in the process mean. Quality and Reliability Engineering International 25:8, pages 933-945.
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Keoagile Thaga. (2009) SS-CUSUM Chart. Economic Quality Control 24:1.
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K. Thaga, P. M. Kgosi & L. Gabaitiri. (2007) Max-Chart for Autocorrelated Processes. Economic Quality Control 22:1.
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Smiley W. Cheng & Keoagile Thaga. (2006) Single Variables Control Charts: an Overview. Quality and Reliability Engineering International 22:7, pages 811-820.
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Edyta Mrówka & Przemysław Grzegorzewski. 2006. Frontiers in Statistical Quality Control 8. Frontiers in Statistical Quality Control 8 123 135 .
ARTHUR B. YEH & DENNIS K. J. LIN. (2011) A NEW VARIABLES CONTROL CHART FOR SIMULTANEOUSLY MONITORING MULTIVARIATE PROCESS MEAN AND VARIABILITY. International Journal of Reliability, Quality and Safety Engineering 09:01, pages 41-59.
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