Rath & Strong's Six Sigma Advanced Tools Pocket Guide - Stagliano, Augustine A.
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Hands-on instructions for understanding and implementing key Six Sigma tools Six Sigma is today's most disciplined, rigorous process for consistently developing and delivering near-perfect products and services. But you can't achieve breakthrough Six Sigma success without truly understanding the tools involved. Rath & Strong's Pocket Guide to Advanced Six Sigma Tools explores over two dozen tools that drive Six Sigma excellence, explaining how to use each without getting bogged down in unnecessary theory and detail. This useful fingertip guide shows your project team leaders and members how…mehr

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Hands-on instructions for understanding and implementing key Six Sigma tools Six Sigma is today's most disciplined, rigorous process for consistently developing and delivering near-perfect products and services. But you can't achieve breakthrough Six Sigma success without truly understanding the tools involved. Rath & Strong's Pocket Guide to Advanced Six Sigma Tools explores over two dozen tools that drive Six Sigma excellence, explaining how to use each without getting bogged down in unnecessary theory and detail. This useful fingertip guide shows your project team leaders and members how to: Understand each tool and its Six Sigma application Select the best tools for controlling costly process variation Apply each tool to consistently maximize customer value while minimizing costs Rath & Strong's Pocket Guide to Advanced Six Sigma Tools provides you with every vital detail you need to implement the most powerful, proven tools in Six Sigma. A companion reference to the bestselling Rath & Strong's Six Sigma Team Pocket Guide , this "lean and mean" book explains each tool in easy-to-understand language, showing how to apply the tool to solve real-world problems in every area of business. Look to Rath & Strong's Pocket Guide to Advanced Six Sigma Tools for valuable, results-based information and details on important Six Sigma tools in areas including: Design of Experiments (DOE) Analysis of Variance (ANOVA) Regression Analysis Correlation Analysis Probability Distributions Sampling Confidence Intervals Hypothesis Testing Control Charts
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