Design For Lean Six Sigma: A Holistic Approach To Design And Innovation 9780470007518pdf/txt下载_在线阅读全文

内容简介

　　Design for Lean Six Sigmais the only book that employs a "road-map" approach to DFSS, which allows corporate management to understand where they are in the process and to integrate DFSS methodology more fully into their overall business strategy. This is a similar approach to that used by Forrest Breyfogle in his successful book: "Implementing Six Sigma, 2E". This approach will allow corporate management to understand where they are in the process and to integrate DFSS methodology more fully into the overall business strategy. Another important aspect of this book is its coverage of DFSS implementation in a broad range of industries including service and manufacturing, plus the use of actual cases throughout.

作者简介

　　Dr. Rajesh Jugulum is a Vice President of the Global Wealthand Investment Division of Bank of America. He is also affiliatedwith the robust design group at the Massachusetts Institute ofTechnology. He has published several articles in leading technicaljournals andmagazines and coauthored two books related toMahalanobis-Taguchi Strategy and Computer-Based Robust Engineeringwith Dr. Genichi Taguchi, in addition to holding a U.S. patent. Heis the recipient of the 2002 American Society for Quality'sFeigenbaum Medal and the 2006 International Technology Institute'sRockwell Medal. He was inducted into the World Level of the Hall ofFame for Engineering, Science, and Technology in 2006 and in thesame year, was listed in Who's Who in the World by Marquis Who'sWho publication board. He was featured as the "Face of Quality" inSeptember 2001 issue of Quality Progress.

Dr. Rajesh Jugulum is a Vice President of the Global Wealth
and Investment Division of Bank of America. He is also affiliated
with the robust design group at the Massachusetts Institute of
Technology. He has published several articles in leading technical
journals andmagazines and coauthored two books related to
Mahalanobis-Taguchi Strategy and Computer-Based Robust Engineering
with Dr. Genichi Taguchi, in addition to holding a U.S. patent. He
is the recipient of the 2002 American Society for Quality's
Feigenbaum Medal and the 2006 International Technology Institute's
Rockwell Medal. He was inducted into the World Level of the Hall of
Fame for Engineering, Science, and Technology in 2006 and in the
same year, was listed in Who's Who in the World by Marquis Who's
Who publication board. He was featured as the "Face of Quality" in
September 2001 issue of Quality Progress. 
　　Dr. Philip Samuel is the Chief Innovation Officer for the
Breakthrough Management Group, a management consulting firm
specializing in performance excellence and innovation. He has been
active in the management of innovation, design, and operations
areas for over twenty years. He has consulted with numerous
industrial and governmental organizations including Alberta
Research Council, Ameriprise Financial, AXA, Baxter BioScience,
BMW, ConocoPhillips, Environment Canada, Hess Corporation, Hitachi
Global Storage Technologies, Johnson Controls, Kaiser Permanente,
Merrill Lynch, McKesson, National Research Council of Canada,
Rhodia, Schlumberger, Saint-Gobain, and Textron. He holds a PhD
from the University of Calgary and an MBA from Arizona State
University.

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目　　录

Dedication
Acknowledgements
Preface
1 Introduction
　1.1 The Goal
　1.2 Robust DFSS -The State of the Art
　1.3 Approach
　1.4 Guide to this book
2Driving Growth through Innovation
　2.1 Delivering On the Promise
　2.2 Creating Better Promise
　2.3 Ambidextrous Organization
　2.4 Platforms for Growth
　2.5 Innovation and Design

Dedication 
Acknowledgements 
Preface 
1 Introduction 
　1.1 The Goal 
　1.2 Robust DFSS -The State of the Art 
　1.3 Approach 
　1.4 Guide to this book 
2Driving Growth through Innovation 
　2.1 Delivering On the Promise 
　2.2 Creating Better Promise 
　2.3 Ambidextrous Organization 
　2.4 Platforms for Growth 
　2.5 Innovation and Design 
　　2.5.1 Managing the Paradox of Preservation and Evolution 
　2.6 Conclusions 
3 Process for Systematic Innovation 
　3.1 Balanced Innovation Portfolio 
　3.2 Effective Teams for Collaboration 
　3.3 Execution Process for Innovation Projects 
　3.4 Techniques and Tools 
　3.5 Climate for Innovation 
4 Lean Six Sigma Essentials 
　4.1 Origins of Six Sigma 
　4.2 Six Sigma Approach 
　　4.2.1 Variation is the Enemy! 
　4.3 Origins of Lean 
　　4.3.1 Waste is the Enemy! 
　4.4 Lean Six Sigma: Faster, Better and Cheaper 
5 Deploying Design for Lean Six Sigma (DFLSS) 
　5.1 Deploying DFLSS 
6 Capturing the Voice of the Customer 
　6.1 Defining Elements of Customer-Producer Relationship 
　6.2 Customer Expectations 
　6.3 Methods of Collecting Customer Expectations 
　6.4 Research Ethics 
7 Design Axioms and Their Usefulness in DFLSS 
　7.1 Design Axioms 
　7.2 Domain Thinking 
　7.3 Design of a Software System 
　　7.3.1 Designing MTS software 
　7.4 Design of a system that will market sporting goods 
　7.5 Design of a fan belt/pulley system 
　7.6 Use of Design Principles in an Academic Department 
　　7.6.1 Mechanical Engineering Department at MIT 
　　7.6.2 FR-DP Identification 
　　7.6.3 Actions Taken 
　7.7 Design of a University System That Will Teach Students Only
Through Internet 
8 Implementing Lean Design 
　8.1 Key Principle of Lean Design 
　8.2 Strategies for Maximizing Value And Minimizing Costs And
Harm8.3 Modular Designs 
　8.4 Value Engineering 
　8.5 3P Approach 
9 Theory of Inventive Problem Solving (TRIZ) 
　9.1Introduction to TRIZ 
　9.2 TRIZ Journey 
　　9.2.1 TRIZ Roadmap 
　　9.2.2 Ideality Equation 
　　9.2.3 Itself method 
　　9.2.4 TRIZ analysis tools 
　　9.2.5 TRIZ database tools 
　9.3 Case Examples of TRIZ 
　　9.3.1 Improving Process of Fluorination 
　　9.3.2 CMM support problem 
　9.4 Robustness through inventions 
　　9.4.1 What is a Robustness Invention 
　　9.4.2 Research Methodology 
　　9.4.3 Results of the Patent Search 
　　9.4.4 Robust Invention Classification Scheme 
　　9.4.5 Signal Based Robust Invention 
　　9.4.6 Response Based Robust Invention 
　　9.5.7 Noise Factor Based Robust Invention 
　　9.4.8 Control Factor Based Robust Invention 
10 Design for Robustness 
11 Robust System Testing 
12 Development of Multivariate Measurement System Using the
Mahalanobis Taguchi Strategy 
References 
Appendix ASome Useful Orthogonal Arrays 
Appendix BEquations for Signal-to-Noise (S/N) Ratios 
Appendix CRelated Topics of Matrix Theory

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