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

  • 13h 4m
  • Andrew Sleeper
  • McGraw-Hill
  • 2006

Design for Six Sigma Statistics meticulously details 59 mathematical procedures for executing DFSS programs, isolating and identifying problems, and solving them before the actual product launch. More than an introduction to statistical concepts and methods, this comprehensive resource offers real-world case studies and step-by-step MINTAB instruction for performing:

  • DFSS Design of Experiments
  • Measuring Process Capability
  • Statistical Tolerancing in DFSS
  • DFSS Techniques within the supply chain

About the Author

Andrew Sleeper is a DFSS expert and General Manager of Successful Statistics, LLC. Since receiving his engineering degree in 1981, he has worked with product development teams 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 thousands of hours of instruction in countries around the world. His client list includes Anheuser-Busch, Intier Automotive Seating, Woodward Governor Company, New Belgium Brewing Company, and Ingersoll-Rand.

In this Book

  • Engineering in a Six Sigma Company
  • Visualizing Data
  • Describing Random Behavior
  • Estimating Population Properties
  • Assessing Measurement Systems
  • Measuring Process Capability
  • Detecting Changes
  • Detecting Changes in Discrete Data
  • Detecting Changes in Nonnormal Data
  • Conducting Efficient Experiments
  • Predicting the Variation Caused by Tolerances
  • References


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