Dynamic process quality control system under networked manufacturing

Abstract

To solve problems concerning the process quality control of networked manufacturing enterprise, a dynamic process quality control mode oriented to networked manufacturing, which integrated quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running dynamic quality control system, integrated several enabling technologies such as the theory of similarity manufacturing, statistical process control (SPC), neural network. Furthermore, some of the key enabling technologies were studied in detail, including process quality analysis on-line based on similarity process, process quality diagnosis based on Elman and expert system of process quality adjustment. Finally, a case study of some Heavy Machinery Ltd was introduced to demonstrate the rationality and validity of the method. It is basis of realizing network, intelligent and automatic process quality control.