Research on the Framework of Quality Prediction in Intelligent Manufacturing

Abstract

Product quality is the lifeblood of manufacturing enterprises. Under the background of intelligent manufacture, quality prediction is affected by lots of intricate elements. Furthermore, the customization level of products is one of the important factors which can support the enterprises in the increasingly fierce competition. Therefore, the high customization level means that it is impossible to collect a large quantity of quality data because of multi variety and small batch production mode. This paper proposes the principle and the framework of quality prediction in intelligent manufacturing. The framework adopts the theory of combinational prediction because it is more stable, more reliable and more accurate than single prediction model. The research of this paper will supply a new prediction method for the manufacturers and improve the accuracy of quality prediction and reduces the production risk.