Description 
1 online resource (xiii, 250 pages) : illustrations 

text txt rdacontent 

computer c rdamedia 

online resource cr rdacarrier 
Bibliography 
Includes bibliographical references and index. 
Note 
Print version record. 
Contents 
pt. I. Overview of the Six Sigma process and the DMAIC roadmap  Ch. 1. Six Sigma methodology and management's role in implementation  Ch. 2. DMAIC : the basic Six Sigma roadmap  pt. II. Qualitative Six Sigma tools  Ch. 3. Simplified QFD  Ch. 4. Simplified FMEA  Ch. 5. Causeandeffect fishbone diagram  Ch. 6. Simplified process flow diagram  Ch. 7. Correlation tests  pt. III. Foundations for using statistical Six Sigma tools  Ch. 8. Getting good samples and data  Ch. 9. Simplified gauge verification  Ch. 10. Probability  Ch. 11. Data plots and distributions  pt. IV. Six Sigma tools to test for statistically significant change  Ch. 12. Testing for statistically significant change using variables data  Ch. 13. Testing for statistically significant change using proportional data  Ch. 14. Testing for statistically significant change using nonnormal distributions  pt. V. Additional Six Sigma tools  Ch. 15. Simplified design of experiments  Ch. 16. Simplified control charts  pt. VI. Statistical tools for design for Six Sigma  Ch. 17. What tolerance is really required?  Ch. 18. Simplified linear transfer functions  pt. VII. Six Sigma data and quality management data  Ch. 19. Comparing Six Sigma data with quality department data. 
Summary 
Annotation The first plainEnglish guide to solving realworld problems with Six Sigma So you're ready to improve your processes and products and satisfy your customers through Six Sigmabut 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 easytounderstand language. In this stepbystep guide, you get a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAICthe 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 problemsolving 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 problemsolving 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 requiredyou can start improving quality and initiating costsaving improvements right away. With all these benefits and authoritative guidance, "Statistics for Six Sigma Made Easy is the only reference you need to facilitate realworld application of Six Sigma tools. 
Subject 
Process control.


BUSINESS & ECONOMICS  Quality Control.


TECHNOLOGY & ENGINEERING  Quality Control.


Process control.


Process control. (OCoLC)fst01078020


Contrôle de qualité


Contrôle du processus.


Six Sigma.

Genre/Form 
Electronic books.


Electronic books.

Other Form: 
Print version: Brussee, Warren. Statistics for Six Sigma made easy!. New York : McGrawHill, ©2004 0071433856 (DLC) 2004008157 (OCoLC)54974345 
ISBN 
0071471383 (electronic bk.) 

9780071471381 (electronic bk.) 

0071502025 

9780071502023 

9780071433853 

0071433856 
Standard No. 
CHBIS 006150165 

DEBSZ 355393395 

HEBIS 29146680X 

NZ1 12030915 

NZ1 12061960 
