INNOVATIVE BUSINESS DEVELOPMENT. STATISTICAL INFERENCE OF SIX SIGMA

Abstract

Implementation of innovative approaches and continuous improvement of technological processes is the reason for successful work of any enterprise. In addition, those changes are highly successful which are necessary to apply and the necessity is analyzed in detail. The economic effect of their realization has to be calculated beforehand. Six Sigma methodology has tools of statistical analysis and control whichcan define true reasons of process problems and estimate the extent of their influence on final result. Thispaper demonstrates by using clear examples how it’s possible to increase the effectiveness of management decisions in process optimization by means of statistical inference.Statistical inference of Six Sigma is based on applying methods of parametric and nonparametric statistics which make it possible to check hypotheses about influence of different factors on output process parameters.Such methods are regression analysis, analysis of variance, comparison of centers and scatters of statistic sample, appraisal of 2.The result of statistical inference of Six Sigma application is definition of true reasons of process defects.It enables to focus on removal of key problems and achieve the utmost result without wasting limited resources.Six Sigma methodology has a complex set of tools for quality improvement and variety reduction. It has already been successfully applied for many years by the leading world companies. This methodology is begging to be realized in Russia. Applying Six Sigma approach during improvement process in Russian enterprises contributes to quality increase and competitiveness of domestic production, growth of GDP and economic potential of the country.