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:: Volume 2, Issue 1 (9-2013) ::
ieijqp 2013, 2(1): 29-40 Back to browse issues page
Development of a new expert system for statistical process control in manufacturing industry
Mohammad hosein Karimi gavareshki *1, Karimi Atashgar1, Mohammad saeed khayat sarkar1
1- Malek Ashtar
Abstract:   (31614 Views)
Considering the advantages of an expert system as a subset of artificial intelligence for simulating the behavior of an expertise in how to suggest a solution and moreover particular importance of statistical process control in the manufacturing industry, in this paper in addition to investigate the expert system (ES), a new expert system for statistical process control (ESSPC) has been developed. The specific features of this system can be counted as recognition of the critical process and critical characteristic quality besides of other domains of the system, as specification of control chart, type of control chart, sampling, process stability, process capability, process improvement and corrective actions. The other significant feature of this system is extracting about 124 rules of different sources as the abstracted knowledge in various domains. This system has been created by VP Expert software .In order to evaluate of the validity, this system is implemented in several process of manufacturing industry and the results show the efficiency of the system.
Keywords: Expert System, Knowledge Representation, Inference, statistical process control, process
Full-Text [PDF 355 kb]   (3915 Downloads)    
Type of Study: Research | Subject: Special
Received: 2012/12/15 | Accepted: 2013/09/21 | Published: 2013/09/21

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karimi gavareshki M H, Atashgar K, khayat sarkar M S. Development of a new expert system for statistical process control in manufacturing industry. ieijqp. 2013; 2 (1) :29-40
URL: http://ieijqp.ir/article-1-47-en.html

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Volume 2, Issue 1 (9-2013) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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