scholarly journals Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

2016 ◽  
Vol 06 (06) ◽  
pp. 1098-1109 ◽  
Author(s):  
Mukund Parasharam Gadre ◽  
Vikas Chintaman Kakade
Keyword(s):  
Control Charts ◽  
Process Mean ◽  
Multivariate Control Charts ◽  
Multivariate Control ◽  
Mean Vector

scholarly journals Robust Multivariate Control Charts to Detect Small Shifts in Mean

2011 ◽  
Vol 2011 ◽  
pp. 1-19 ◽  
Author(s):  
Habshah Midi ◽  
Ashkan Shabbak
Keyword(s):  
Control Charts ◽  
Substantial Improvement ◽  
Data Set ◽  
Multivariate Control Charts ◽  
Mean Vectors ◽  
The Mean ◽  
Simulation Results ◽  
Multivariate Control ◽  
Mean Vector

The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM and Robust multivariate EWMA charts to remedy the problem of small changed in scatter outliers. Both the empirical and simulation results indicate that the proposed robust multivariate CUSUM and EWMA charts offer substantial improvement over other multivariate CUSUM and EWMA charts. This article also discussed the robustness of the proposed charts, when there is a small or moderate sustained shift in the data set.

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