Research On Statistical Evaluation Methods In Six Sigma Management And Application

The aim of six sigma management is that improves and achieves the competitive advantage and the maximum profit through continuous quality improvement projects which is based on customer satisfaction and data-driven. It is a new model of quantitative scientific management when the resource allocation and circulation are accelerating the development of economic globalization, and establishes a global quality platform. It's been 20 years since the birth, six sigma had been applied to health care, education, finance and so on. Moreover, the scientific methods and statistical techniques of six sigma system are gradually developing.In this paper, the studies of six sigma statistical techniques are divided into three parts.The first part is the study of capability evaluation of six sigma management process, and evaluates the reliability of several types of process capability based on the existing estimates of process capability, then, suggests a reliable method to suppliers and buyers for decision-making. For non-normal quality characteristics of a process, propose rosenblatt a new method for transformation and calculating PCIs using Burr-â…«distribution and pearn method is developed. Correcting the primary quality cost model, and presenting the quality profit model and extra cost model based on inverse probability function.The second part studies the theoretical method of process control charts for autocorrelation and heteroscedasticity data. The simulations are carried out to investigate and compare the control ability when the process is out of control between several control charts, then, selects the optimal control chart for establishing a non-stationary series control charts-ARIMA model. By variance volatility, a changing control limits for heteroscedasticity control chart is proposed. For data of multi-dimensional heteroscedasticity, establishing a joint control charts using principal component method, control charts are applied to process monitoring of finance data.The third part is the process control and evaluation system development, which based on R language, including process control, process evaluation and process effectiveness. For practical problems in the quality function deployment, the developed evaluation system of six sigma management has a friendly interface and the simplicity of operator, and will improve competitiveness of the Small and Medium Enterprise.