Statistics for Six Sigma Made Easy! / Edition 1

The first plain-English guide to solving real-world problems with Six Sigma

So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate

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Overview

The first plain-English guide to solving real-world problems with Six Sigma

So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use the powerful statistical tools of Six Sigma in easy-to-understand language.

In this step-by-step guide, you get a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem solving method used by Six Sigma Greenbelts for projects and process improvements. You'll see how to plot, interpret, and validate data for a Six Sigma project. You will use Excel to make Six Sigma problem-solving calculations in a wide range of areas, from sales and marketing to manufacturing, process work, equipment design, and more. Each chapter also features a brief review of what you've learned. Plus, you get:

• A simplified form of the most common Six Sigma tools
• All the basic Six Sigma formulas and tables
• Dozens of Six Sigma statistical problem-solving case studies
• A matrix for finding the right statistical tool to meet your needs
• Basic Greenbelt training in one concise reference

Best of all, no background in statistics is required--you can start improving quality and initiating cost-saving improvements right away. With all these benefits and authoritative guidance, Statistics for Six Sigma Made Easy is the only reference you need to facilitate real-world application of Six Sigma tools.

Warren Brussee (Columbia, SC) spent 33 years at General Electric as an engineer, plant manager, and engineering manager. He has taught Six Sigma classes to both engineering and manufacturing teams.

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Product Details

ISBN-13:
9780071433853
Publisher:
McGraw-Hill Companies, The
Publication date:
05/12/2004
Pages:
250
Product dimensions:
7.30(w) x 9.30(h) x 0.64(d)

Table of Contents

 Pt. I Overview of the Six Sigma process and the DMAIC roadmap 1 Ch. 1 Six Sigma methodology and management's role in implementation 3 Ch. 2 DMAIC : the basic Six Sigma roadmap 11 Pt. II Qualitative Six Sigma tools 17 Ch. 3 Simplified QFD 19 Ch. 4 Simplified FMEA 27 Ch. 5 Cause-and-effect fishbone diagram 33 Ch. 6 Simplified process flow diagram 37 Ch. 7 Correlation tests 41 Pt. III Foundations for using statistical Six Sigma tools 47 Ch. 8 Getting good samples and data 49 Ch. 9 Simplified gauge verification 64 Ch. 10 Probability 73 Ch. 11 Data plots and distributions 91 Pt. IV Six Sigma tools to test for statistically significant change 117 Ch. 12 Testing for statistically significant change using variables data 119 Ch. 13 Testing for statistically significant change using proportional data 143 Ch. 14 Testing for statistically significant change using non-normal distributions 162 Pt. V Additional Six Sigma tools 167 Ch. 15 Simplified design of experiments 169 Ch. 16 Simplified control charts 177 Pt. VI Statistical tools for design for Six Sigma 187 Ch. 17 What tolerance is really required? 189 Ch. 18 Simplified linear transfer functions 196 Pt. VII Six Sigma data and quality management data 201 Ch. 19 Comparing Six Sigma data with quality department data 203

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