Master modern Six Sigma implementation with the most complete, up-to-date guide for Green Belts, Black Belts, Champions and students! Now fully updated with the latest lean and process control applications, A Guide to Lean Six Sigma and Process Improvement for Practitioners and Students, Second Edition gives you a complete executive framework for understanding quality and implementing Lean Six Sigma. Whether you're a green belt, black belt, champion, or student, Howard Gitlow and Richard Melnyck cover all you need to know. Step by step, they systematically walk you through the five-step DMAIC implementation process, with detailed examples and many real-world case studies. You'll find practical coverage of Six Sigma statistics and management techniques, from dashboards and control charts to hypothesis testing and experiment design. Drawing on their extensive experience consulting on Six Sigma and leading major Lean and quality initiatives, Gitlow and Melnyck offer up-to-date coverage of:

• What Six Sigma can do, and how to manage it effectively
• Six Sigma roles, responsibilities, and terminology
• Running Six Sigma programs with Dashboards and Control Charts
• Mastering each DMAIC phase: Define, Measure, Analyze, Improve, Control
• Understanding foundational Six Sigma statistics: probability, probability distributions, sampling distributions, and interval estimation
• Pursuing Six Sigma Champion or Green Belt Certification, and more

This guide will be an invaluable resource for everyone who is currently involved in Six Sigma implementation, or plans to be. It's ideal for students in quality programs; "Green Belts" who project manage Six Sigma implementations, "Black Belts" who lead Six Sigma teams; "Champions" who promote and coordinate Six Sigma at the executive level; and anyone seeking Six Sigma certification.

Howard S. Gitlow (Miami, FL) is executive director of the Institute for the Study of Quality, director of University of Miami's MS degree program in management science, and a professor at its School of Business Administration. Gitlow is a Certified Six Sigma Master Black Belt, a fellow of the American Society for Quality (ASQ), and a member of the American Statistical Association. He has consulted on quality, productivity, and related matters with many organizations, including several Fortune® 500 companies. He has authored or co-authored a dozen books, including Design for Six Sigma for Green Belts and Champions (Prentice Hall), and published 50+ academic articles in the field.

Richard Melnyck (Miami-Ft. Lauderdale Area, FL) is Executive Director of Process Improvement at the University of Miami Health System. He is a Six Sigma Master Black Belt, a member of ASQ, the University of Miami faculty advisor for ASQ, and a member of the Beta Gamma Sigma international Honor Society. He has consulted on quality, productivity and related matters with many organizations. He received his M.S. in Management Science (2008), M.B.A. (2002), and M.S. in Computer Information Systems (2002) from the University of Miami.

Preface

I. SIX SIGMA BASICS

1. Overview of Six Sigma Management

2. Six Sigma Roles, Responsibilities, and Terminology

II. SIX SIGMA MODEL

3. Macro Model of Six Sigma Management (Dashboards)

4. Define Phase of the DMAIC Model

5. Measure Phase of the DMAIC Model

6. Analyze Phase of the DMAIC Model

7. Improve Phase of the DMAIC Model

8. Control Phase of the DMAIC Model

III. SIX SIGMA TOOLS AND METHODS

9. Basics of Statistical Studies

10. Probability and Probability Distributions

11. Sampling Distributions and Interval Estimation

12. Hypothesis Testing

13. Design of Experiments

14. Control Charts for Six Sigma Management

15. Additional Tools and Methods

IV. SIX SIGMA CASE STUDIES

16. Paper Organizers International: A Fictitious Six Sigma Green Belt Case Study

17. A Paper Helicopter Case Study

V. SIX SIGMA CERTIFICATION

18. Six Sigma Champion Certification at the University of Miami

19. Six Sigma Green Belt Certification at the University of Miami

Appendix A. Review of Arithmetic and Algebra

Appendix B. Summation Notation

Appendix C. Statistical Tables

Appendix D. Documentation of Data Files

Glossary of Terms

Index