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Six Sigma Management To Enhance The Mobile Communications Industry, The Level Of Data Services

Posted on:2009-12-10Degree:MasterType:Thesis
Country:ChinaCandidate:J W ChenFull Text:PDF
GTID:2199360242991613Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
Along with the social structure and the enterprise informationization technology's unceasing development, the six sigma management also has problems that awaits to be solved urgently in the actual utilization. On the one hand, service industry such as finance, telecommunication, electronic commerce develops vigorously. It makes the quality control break out the traditional manufacturing industry. Service industry take the customer as the center, the promotion of service grade becomes the powerful method in which the enterprise competes with others. It makes us to face to such an issue as how to use six sigma in the service industry; On the other hand, because of corporation's large amounts of data accumulation, it produces another problem that how Six Sigma management to deal with a multitude of complicated data effectively. Data mining is a process that can find useful information and knowledge from the large, fuzzy data.Under this background this paper studies how to use Six Sigma management to help the telecom industry to improve its operational levels.First, it studies the feasibility, necessity and challenges of the application of Six Sigma in service industry.Second, it studies the common feature between data mining technology and Six Sigma management. It elaborates the feasibility of Six Sigma management on the use of data mining technology.Third, it studies the integration of Six Sigma management and data mining in processes. It mainly focuses on using data mining technology in measurement and analysis stages of DMAIC model.Finally, applies the multiple regression analysis and correlation rules to the SixSigma management and verifies the theory and methods of integration in a real case.
Keywords/Search Tags:six sigma, data mining, application analysis
PDF Full Text Request
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