Economic design of multivariate Bayesian control chart with two sampling intervals

2016 ◽  
Vol 174 ◽  
pp. 29-42 ◽  
Author(s):  
Farnoosh Naderkhani ◽  
Viliam Makis
Author(s):  
Masoud Tavakoli ◽  
Reza Pourtaheri

Due to the proper performance of Bayesian control chart in detecting process shifts, it recently has become the subject of interest. It has been proved that on Bayesian and traditional control charts, the economic and statistical performances of the variable sampling interval (VSI) scheme are superior to those of the fixed ratio sampling (FRS) strategy in detecting small to moderate shifts. This paper studies the VSI multivariate Bayesian control chart based on economic and economic-statistical designs. Since finding the distribution of Bayesian statistic is t complicated, we apply Monte Carlo method and we employ artificial bee colony (ABC) algorithm to obtain the optimal design parameters (sample size, sampling intervals, warning limit and control limit). In the end, this case study is compared with VSI Hotelling’s T2 control chart and it is shown that this approach is more desirable statistically and economically.


2019 ◽  
Vol 35 (5) ◽  
pp. 1460-1475 ◽  
Author(s):  
Pasquale Erto ◽  
Antonio Lepore ◽  
Biagio Palumbo ◽  
Amalia Vanacore

2009 ◽  
Vol 26 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Chau-Chen Torng ◽  
Pei-Hsi Lee ◽  
Chun-Chieh Tseng

2009 ◽  
Vol 42 (4) ◽  
pp. 1704-1707 ◽  
Author(s):  
Ching Pou Chang ◽  
Hsiang Chin ◽  
Yuan-Du Hsiao ◽  
Fong-Jung Yu

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