Optimal design of the double sampling chart with estimated parameters based on median run length

2014 ◽  
Vol 67 ◽  
pp. 104-115 ◽  
Author(s):  
W.L. Teoh ◽  
Michael B.C. Khoo ◽  
Philippe Castagliola ◽  
S. Chakraborti
Keyword(s):  
Optimal Design ◽  
Double Sampling ◽  
Run Length ◽  
Estimated Parameters

scholarly journals Optimal Design of One-Sided Exponential EWMA Charts With Estimated Parameters Based on the Median Run Length

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 76645-76658 ◽  
Author(s):  
Yulong Qiao ◽  
Xuelong Hu ◽  
Jinsheng Sun ◽  
Qin Xu
Keyword(s):  
Optimal Design ◽  
Run Length ◽  
Estimated Parameters

scholarly journals Performance of Synthetic Double Sampling Chart with Estimated Parameters Based on Expected Average Run Length

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Huay Woon You
Keyword(s):  
Standard Deviation ◽  
Phase I ◽  
Process Parameters ◽  
Average Run Length ◽  
Performance Measure ◽  
Double Sampling ◽  
Control Phase ◽  
Run Length ◽  
Estimated Parameters ◽  
The Common

A synthetic double sampling (SDS) chart is commonly evaluated based on the assumption that process parameters (namely, mean and standard deviation) are known. However, the process parameters are usually unknown and must be estimated from an in-control Phase-I dataset. This will lead to deterioration in the performance of a control chart. The average run length (ARL) has been implemented as the common performance measure in process monitoring of the SDS chart. Computation of ARL requires practitioners to determine shift size in advance. However, this requirement is too restricted as practitioners may not have the experience to specify the shift size in advance. Thus, the expected average run length (EARL) is introduced to assess the performance of the SDS chart when the shift size is random. In this paper, the SDS chart, with known and estimated process parameters, was evaluated based on EARL and compared with the performance measure, ARL.

Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length

2018 ◽  
Vol 16 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Anan Tang ◽  
Philippe Castagliola ◽  
Jinsheng Sun ◽  
Xuelong Hu
Keyword(s):  
Optimal Design ◽  
Run Length ◽  
Ewma Chart ◽  
The Mean

Run-Length Performance of Regression Control Charts with Estimated Parameters

2004 ◽  
Vol 36 (3) ◽  
pp. 280-292 ◽  
Author(s):  
Lianjie Shu ◽  
Fugee Tsung ◽  
Kwok-Leung Tsui
Keyword(s):  
Control Charts ◽  
Run Length ◽  
Estimated Parameters ◽  
Regression Control
Sign in / Sign up

Export Citation Format

Share Document