Design for Six Sigma: A Roadmap for Product Development, Second Edition
- 10h 58m
- Basem El-Haik, Kai Yang
- McGraw-Hill
- 2009
Hailed as a classic in its first edition, Design for Six Sigma has been fully revised and updated to equip you with everything you need to implement Design for Six Sigma (DFSS) in new product and service development.
The Second Edition of this indispensable design tool retains the core of the previous edition, while adding new information on innovation, lean product development, incomplete DOE, mixture experiments, and alternative DFSS roadmaps—plus new thread-through case studies.
From quality concepts and DFSS fundamentals…to DFSS deployment and project algorithm…to design validation, the updated edition of Design for Six Sigma gives you a solid understanding of the entire process for applying DFSS in the creation of successful new products and services.
Packed with detailed illustrations, careful directions and comparisons, and worked-out calculations, the Second Edition of Design for Six Sigma features:
- A one-stop resource for developing a sure-fire DFSS program
- Expert walkthroughs that help readers choose the right design tools at every stage of the DFSS process
- New to this edition: new chapters on innovation, lean product development, and computer simulation; new material on critical parameter management; new thread-through case studies
Providing real-world product development experience and insight throughout, the Second Edition of Design for Six Sigma now offers professionals in a wide range of industries the information required to maximize DFSS potential in creating winning products and services for today's marketplace.
Filled with over 200 detailed illustrations, the Second Edition of Design for Six Sigma first gives you a solid foundation in quality concepts, Six Sigma fundamentals, and the nature of Design for Six Sigma, and then presents clear, step-by-step coverage of:
- Design for Six Sigma Deployment
- Design for Six Sigma Project Algorithm
- DFSS Transfer Function and Scorecards
- Quality Function Deployment (QFD)
- Axiomatic Design
- Innovation in Product Design
- Lean Product Development
- TRIZ
- Design for X
- Failure Mode-Effect Analysis
- Fundamentals of Experimental Design
- Incomplete DOE
- Taguchi's Orthogonal Array Experiment
- Taguchi's Robust Parameter Design
- Tolerance Design
- Response Surface Methodology
- Mixture Experiments
- Design Validation
About the Authors
Kai Yang, Ph.D., is Professor of Industrial and Manufacturing Engineering at Wayne State University. He is also a consultant with extensive experience in all aspects of Design for Six Sigma, Six Sigma and Lean, Lean Healthcare, and quality and reliability engineering. Dr. Yang is the author of Multivariate Statistical Methods for Quality Management, Design for Six Sigma for Service, and Voice of the Customer Capturing and Analysis.
Basem S. El-Haik, Ph.D. and Doctorate in Manufacturing Engineering, is the CEO and President of Six Sigma Professionals, Inc., in Canton, Michigan, United States, and an author of many bestseller books on the subject of Design For Six Sigma and Six Sigma. His wealth of experience encompasses 20 years in contemporary design and quality engineering methods. Throughout his career Dr. El-Haik has trained, certified, coached, and mentored over 600 belts (green belts, black belts, and master black belts) in DFSS and Six Sigma in both tracks: product and service (transactional).
In this Book
-
Quality Concepts
-
Six Sigma and Lean Fundamentals
-
Product Development Process and Design for Six Sigma
-
Design for Six Sigma Deployment
-
Design for Six Sigma Project Algorithm
-
DFSS Transfer Function and Scorecards
-
Quality Function Deployment (QFD)
-
Axiomatic Design
-
Theory of Inventive Problem Solving (TRIZ)
-
Design for X
-
Failure Mode–Effect Analysis
-
Fundamentals of Experimental Design
-
Taguchi’s Orthogonal Array Experiment
-
Design Optimization: Taguchi’s Robust Parameter Design
-
Design Optimization: Advanced Taguchi Robust Parameter Design
-
Tolerance Design
-
Response Surface Methodology
-
Design Validation
YOU MIGHT ALSO LIKE
