Process Control Analysis System Based on Data Warehouse

Process control analysis system based on data warehouse (DWPCS) is introduced in this paper, which integrates the theory of SPC and DW. It firstly introduces the general framework of DWPCS and then gives an example of building subject data set that contains the relative data of control parameters. Lastly it detailedly explains the process of selecting related variables by statistical analysis methods, prediction control parameters by support vector machine and generating rules set for discrete parameter data by rough set. It is proved that prediction model and rules resulted by DWPCS can meet enterprise´s requirement and it can improve efficiency of production.