Design for Six Sigma Statistics: 59 Tools for Diagnosing and Solving Problems in DFFS Initiatives

Front Cover
McGraw Hill Professional, Dec 23, 2005 - Technology & Engineering - 854 pages

In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.


Chapter 1 Engineering in a Six Sigma Company
Chapter 2 Visualizing Data
Chapter 3 Describing Random Behavior

11 other sections not shown

Other editions - View all

Common terms and phrases

About the author (2005)

Andrew Sleeper is a DFSS expert and General Manager of Successful Statistics, LLC. He has worked with product development teams for 22 years as an engineer, statistician, project manager, Six Sigma Black Belt, and consultant. Mr. Sleeper holds degrees in electrical engineering and statistics, and is a licensed Professional Engineer. A senior member of the American Society for Quality, he is certified by ASQ as a Quality Manager, Reliability Engineer, and Quality Engineer, and has provided over 1,000 hours of instruction in countries around the world. His client list includes Anheuser-Busch, Intier Automotive Seating, New Belgium Brewing Company, and Ingersoll-Rand.

Bibliographic information