Volume 19, Number 1 (International Journal of Engineering 2008)                   IJIEPM 2008, 19(1): 89-102 | Back to browse issues page


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Fazel Zarandi M H, Samimi Y. A Fuzzy Expert System for Controlling Individual Measurements . IJIEPM. 2008; 19 (1) :89-102
URL: http://ijiepm.iust.ac.ir/article-1-9-en.html

Abstract:   (10354 Views)

 Shewhart charts are the main tools for statistical process control. They are used for detecting assignable causes which affect quality of process output. From them, X and MR charts are two univariate control charts for monitoring mean and variation of measurable quality characteristics. The main drawbacks of these charts are: weakness of X chart against non-normal distribution of process data, autocorrelation of consecutive MR values, and inability of MR chart in detecting decrease in process variation. These drawbacks have declined their effectiveness. This paper presents a simple method for monitoring two parameters of normal distribution, based on fuzzy logic, resolving above drawbacks. The proposed method can detect non-random patterns of the process data. Here a fuzzy expert system is developed to assess individual measurements. This results in considerable improvement in decreasing out-of-control average run length versus the traditional control charts. Moreover, performance of fuzzy control chart for recognizing unnatural process behaviors has investigated using Mont-Carlo simulation and advantages of this novel method have been investigated.

 

Full-Text [PDF 421 kb]   (1731 Downloads)    
Type of Study: Research |
Received: 2009/04/25

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