Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart

Author(s):  
Sina Kazemi ◽  
Rassoul Noorossana ◽  
Mohammad Rasouli ◽  
Mohamad R. Nayebpour ◽  
Kamran Heidari
2018 ◽  
Vol 100 (5-8) ◽  
pp. 1923-1930 ◽  
Author(s):  
M. Pear Hossain ◽  
Ridwan A. Sanusi ◽  
M. Hafidz Omar ◽  
Muhammad Riaz

2011 ◽  
Vol 228-229 ◽  
pp. 1080-1084
Author(s):  
Rong Li ◽  
Jing Li ◽  
Jian Liu

Aiming at the situation in some Chinese auto companies that the workload of body welding quality inspection is high and the sample size is extremely small, a brand-new CUSUM Control Chart for variance monitoring is proposed in the paper to realize the effective quality control in body welding variance, whose principle is to use variance statistics based on Queensberry transformation Φ-1(G((n-1) St2/σ02)) to monitor infinitely small variances in the process of body welding. Evaluation instance results show that, compared with traditional CUSUM control chart, EWMA control chart and weighted CUSUM control chart, the proposed CUSUM control chart based on variance monitoring is more sensitive to the abnormal variation fluctuation and can detect the abnormity of quality variation earlier.


2018 ◽  
Vol 17 (1) ◽  
pp. 52-74 ◽  
Author(s):  
Hidayatul Khusna ◽  
Muhammad Mashuri ◽  
Muhammad Ahsan ◽  
Suhartono Suhartono ◽  
Dedy Dwi Prastyo

2014 ◽  
Vol 44 (3) ◽  
pp. 756-772 ◽  
Author(s):  
Liu Liu ◽  
Jian Zhang ◽  
Xuemin Zi

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