Data Mining Technology In The Six Sigma Management

With the quickly development of the information system and the applications of Six Sigma in manufacturing and service company, six sigma faces the problem how to analyze the vast of data effectively. Whereas data mining is to find these valuable information from the vast of blurry data, so it can compensate for the shortcoming of using the existed data storing in other database and processing vast of data by applying the data mining technology to the six sigma management.Because of this, this paper attempts to combine the data mining and six sigma management.First, in order to make the best of the organization's information resources and come to the combination radically, this paper analyses, designs and achieves the integration interface of Minitab and Business Information System, and develops corresponding application programs of the integration interface. It makes six sigma can use directly the data in Database or Data Warehouse.Secondly, this paper discusses the necessity, common characters, differences and combination ways, and points out that the combination should focus on applying data mining to the stage of (Measure)M and (analyze)A of six sigma management, then studies of applying the statistical methods of data mining to six sigma management.Finally, an actual case is given to describe how to apply the principal component analysis(PCA) to six sigma process, the case has a role to verify the combination's theory and means.