An intelligent supervisory system for online statistical process control

The methods of intelligent process control and their application to provide a quality product with a minimum number of defects are presented. A case study of a high-pressure polyethylene production process using intelligent distributed controls is examined. A distributed statistical quality control structure is defined in two levels. The first level is the statistical process control scheme, and the second is the process management system, including statistical quality control. The design and implementation procedures are discussed as applied to a polyethylene reactor