A Bayesian Condition Based Maintenance and Monitoring Policy with Variable Sampling Intervals

Author(s):  
Dimitris Kampitsis ◽  
Sofia Panagiotidou
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yan Wang ◽  
Xuelong Hu ◽  
Xiaojian Zhou ◽  
Yulong Qiao ◽  
Shu Wu

In statistical process control (SPC), t charts play a vital role in the monitoring of the process mean, especially when the process variance is unknown. In this paper, two separate upper-sided and lower-sided exponentially weighted moving average (EWMA) t charts are first proposed and the Monte Carlo simulation method is used to obtain their run length (RL) properties. Compared with the traditional one-sided EWMA t charts and several run rules t charts, the proposed charts are proven to have better performance than these competing charts. In addition, by adding the variable sampling interval (VSI) feature to the proposed charts, the new VSI one-sided EWMA t charts are shown to detect different shift sizes in the process more efficient than the chart without VSI feature. Finally, an example of a milk filling process illustrates the use of the charts.


2001 ◽  
Vol 33 (6) ◽  
pp. 511-530 ◽  
Author(s):  
MARION R. REYNOLDS ◽  
JESSE C. ARNOLD

Technometrics ◽  
1990 ◽  
Vol 32 (4) ◽  
pp. 393 ◽  
Author(s):  
Marion R. Reynolds ◽  
Raid W. Amin ◽  
Jesse C. Arnold

2017 ◽  
Vol 33 (8) ◽  
pp. 2181-2192 ◽  
Author(s):  
M.L.I. Coelho ◽  
M.A. Graham ◽  
S. Chakraborti

2013 ◽  
Vol 456 ◽  
pp. 627-630
Author(s):  
Ying Zhang ◽  
Xiao Juan Wang

The Cumulative Quantity Control (CQC) chart which is based on monitoring the cumulative quantity of product manufactured has been shown to be useful for monitoring high yield processes. However, this chart is not so sensitive to small process changes and the inspection cost could be high if the inspection is frequent. In this paper, a variable sampling interval procedure of the CQC chart is developed and studied. We compare the performance of the variable sampling interval CQC chart in terms of its average time to signal with the traditional CQC chart and prove that this new chart performs better than the traditional CQC chart. The use of variable sampling interval scheme could further enhance the efficiency of traditional CQC chart.


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