Volume 24, Issue 4 (IJIEPR 2013)                   IJIEPR 2013, 24(4): 297-305 | Back to browse issues page

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fallah nezhad M S. Application of Decision on Beliefs for Fault Detection in uni-variate Statistical Process Control. IJIEPR 2013; 24 (4) :297-305
URL: http://ijiepr.iust.ac.ir/article-1-360-en.html
Application of Decision on Beliefs for Fault Detection in uni-variate Statistical Process Control
Mohammad saber Fallah nezhad
assistant professor of Yazd university , fallahnezhad@yazduni.ac.ir
Abstract:   (5885 Views)
In this research, the decision on belief (DOB) approach was employed to analyze and classify the states of uni-variate quality control systems. The concept of DOB and its application in decision making problems were introduced, and then a methodology for modeling a statistical quality control problem by DOB approach was discussed. For this iterative approach, the belief for a system being out-of-control was updated by taking new observations on a given quality characteristic. This can be performed by using Bayesian rule and prior beliefs. If the beliefs are more than a specific threshold, then the system will be classified as an out-of-control condition. Finally, a numerical example and simulation study were provided for evaluating the performance of the proposed method.
Keywords: Statistical Quality Control, Bayesian Rule, Decision on Belief.
Full-Text [PDF 392 kb]   (2145 Downloads)    
Type of Study: Research | Subject: Quality Control
Received: 2011/11/15 | Accepted: 2013/03/3 | Published: 2014/02/2
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