Method of Modeling Intelligent Quality Control System Based on Multi-Agent Technology

This work presents a method of modeling intelligent quality control system based on multi-Agent technology. Multi-Agent technology is applied to the quality control process. To simplify the overall process, each process could be regarded as an independent agent. The techniques of artificial neural networks (ANNs) and case-based reasoning are adopted in the intelligent decision to solve the problems of pattern recognition and fault diagnosis. Thus, the solution can provide the decision for process adjustment and control. The sample calculation demonstrates the feasibility of presented method.