Determining the Time of a Permanent Shift in the Process Mean of CUSUM Control Charts

2004 ◽  
Vol 17 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Michael B. C. Khoo
Keyword(s):  
Control Charts ◽  
Process Mean ◽  
Cusum Control Charts

New Synthetic EWMA and Synthetic CUSUM Control Charts for Monitoring the Process Mean

2014 ◽  
Vol 32 (1) ◽  
pp. 269-290 ◽  
Author(s):  
Abdul Haq ◽  
Jennifer Brown ◽  
Elena Moltchanova
Keyword(s):  
Control Charts ◽  
Process Mean ◽  
Cusum Control Charts

Dynamic Response of Residuals of a Controlled Cutting Process to Shifts in the Process Mean

1998 ◽  
Vol 05 (02) ◽  
pp. 157-168
Author(s):  
Jiangbin Yang ◽  
Viliam Makis
Keyword(s):  
Control Charts ◽  
Moving Average ◽  
Cutting Process ◽  
Process Mean ◽  
Autocorrelated Process ◽  
Recursive Procedures ◽  
Statistical Behavior ◽  
Run Lengths ◽  
Cusum Control Charts ◽  
Weighted Moving Average

A usual approach to monitoring an autocorrelated process is to apply a control chart to the process residuals. In this paper, we study the statistical behavior of the residuals of a controlled second-order autoregressive (AR(2)) cutting process when a special-cause shift occurs to the process mean. Shewhart, exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are applied to the residuals to monitor the cutting process. Formulas, integral equations and recursive procedures for computing the average run lengths (ARLs) of the charts are derived. Numerical results are presented and the relative performance of the charts is investigated.

A new approach to design efficient univariate control charts to monitor the process mean

2018 ◽  
Vol 34 (8) ◽  
pp. 1732-1751 ◽  
Author(s):  
Tahir Nawaz ◽  
Muhammad Ali Raza ◽  
Dong Han
Keyword(s):  
Control Charts ◽  
Process Mean ◽  
New Approach
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