Rath & Strong's Six Sigma Advanced Tools Pocket Guide 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Rath & Strong's Six Sigma Advanced Tools Pocket Guide

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Rath & Strong 作者
McGraw-Hill
译者
2004-6 出版日期
200 页数
$ 14.63 价格
Pap
丛书系列
9780071434119 图书编码

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发表于2024-10-05


Rath & Strong's Six Sigma Advanced Tools Pocket Guide 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Rath & Strong's Six Sigma Advanced Tools Pocket Guide 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Rath & Strong's Six Sigma Advanced Tools Pocket Guide 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Rath & Strong's Six Sigma Advanced Tools Pocket Guide 在线电子书 图书描述

This book provides 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 and 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; and apply each tool to consistently maximize customer value, while minimizing costs."Rath and 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 and 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 and 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; and Hypothesis Testing Control Charts.

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