Design for lean six sigma / Rajesh Jugulum and Philip Samuel.

By: Jugulum, Rajesh .

Contributor(s): Samuel, Philip .

Material type: materialTypeLabel

BookPublisher: Hoboken, N.J. : John Wiley , 2008Description: xx, 300 p. : ill. ; 25 cm.ISBN: 9780470007518; 0470007516 .Subject(s): Six sigma (Quality control standard)

| Quality control

| Production control

DDC classification: 658.4013

Contents:

Introduction -- Driving growth through innovation -- Process for systematic innovation -- Lean six sigma essentials -- Deploying design for lean six sigma -- Capturing the voice of the customer -- Design axioms and their usefulness in DFLSS -- Implementing lean design -- Theory of inventive problem solving (TRIZ) -- Design for robustness -- Robust system testing -- Development of multivariate measurement system using the mahalanobis - Taguchi strategy.

Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
General lending	MTU Bishopstown Library Lending	658.4013 (Browse shelf(Opens below))	1	Available	00133921
General lending	MTU Bishopstown Library Lending	658.4013 (Browse shelf(Opens below))	1	Available	00131050

Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references (pages 255-262) and index.

CIT Module MANU 9002 - Supplementary reading

Table of contents provided by Syndetics

Preface (p. xv)
Acknowledgments (p. xix)
1 Introduction (p. 1)
1.1 The Goal (p. 1)
1.2 Design for Six Sigma - State of the Art (p. 2)
1.3 Approach (p. 3)
1.4 Guide to This Book (p. 7)
2 Driving Growth through Innovation (p. 11)
2.1 Delivering on the Promise (p. 11)
2.2 Creating a Better Promise (p. 12)
2.3 Ambidextrous Organization (p. 14)
2.4 Platforms for Growth (p. 17)
2.5 Innovation and Design (p. 18)
2.5.1 Managing the Paradox of Preservation and Evolution (p. 20)
2.5.2 Types of Paradoxes (p. 21)
2.6 Conclusions (p. 28)
3 Process for Systematic Innovation (p. 29)
3.1 Balanced Innovation Portfolio (p. 30)
3.2 Effective Teams for Collaboration (p. 32)
3.3 Process for Executing Innovation Projects (p. 35)
3.4 Proven Techniques and Tools (p. 38)
3.5 Climate for Innovation (p. 39)
3.6 The Governance System (p. 40)
4 Lean Six Sigma Essentials (p. 41)
4.1 Origins of Six Sigma (p. 42)
4.2 Six Sigma Approach (p. 43)
4.3 Origins of Lean (p. 47)
4.4 Lean Six Sigma: Faster, Better, and Cheaper (p. 55)
5 Deploying Design for Lean Six Sigma (p. 59)
5.1 Deploying DFLSS (p. 59)
5.2 Design for Lean Six Sigma Enterprise (p. 66)
5.2.1 Executive Sponsors (p. 67)
5.2.2 Deployment Champions (p. 68)
5.2.3 Design Project Champions (p. 68)
5.2.4 Design Black Belts (p. 68)
5.2.5 Core Team (p. 68)
5.2.6 Extended Team (p. 69)
5.2.7 Building Support Infrastructure (p. 69)
6 Capturing the Voice of the Customer (p. 73)
6.1 Defining Elements of Customer-Producer Relationship (p. 75)
6.2 Customer Expectations (p. 78)
6.3 Methods of Collecting Customer Expectations (p. 83)
6.4 Research Ethics (p. 89)
7 Design Axioms and Their Usefulness in DFLSS (p. 91)
7.1 Design Axioms (p. 92)
7.2 Domain Thinking (p. 93)
7.3 Designing of MTS Software System (p. 96)
7.4 Designing a System that Will Market Sporting Goods (p. 101)
7.5 Designing a Fan Belt/Pulley System (p. 104)
7.6 Use of Design Principles in an Academic Department (p. 106)
7.6.1 Mechanical Engineering Department at MIT (p. 106)
7.6.2 FR-DP Identification (p. 108)
7.6.3 Actions Taken (p. 109)
7.7 Designing a University System that Will Teach Students Only through the Internet (p. 112)
8 Implementing Lean Design (p. 115)
8.1 Key Principles of Lean Design (p. 115)
8.2 Strategies for Maximizing Value and Minimizing Costs and Harm (p. 118)
8.3 Modular Designs (p. 118)
8.4 Value Engineering (p. 122)
8.5 The 3P (Production, Preparation, Process) Approach (p. 123)
9 Theory of Inventive Problem Solving (TRIZ) (p. 127)
9.1 Introduction to TRIZ (p. 127)
9.2 TRIZ Journey (p. 129)
9.2.1 TRIZ Road Map (p. 129)
9.2.2 Ideality Equation (p. 131)
9.2.3 Itself Method (p. 132)
9.2.4 TRIZ Analysis Tools (p. 132)
9.2.5 TRIZ Database Tools (p. 139)
9.3 Case Examples of TRIZ (p. 147)
9.3.1 Improving the Process of Fluorination (p. 147)
9.3.2 Coordinate Measuring Machine (CMM) Support Problem (p. 152)
9.4 Robustness through Inventions (p. 157)
9.4.1 What Is a Robustness Invention? (p. 159)
9.4.2 Research Methodology (p. 160)
9.4.3 Results of the Patent Search (p. 161)
9.4.4 Robust Invention Classification Scheme (p. 161)
9.4.5 Signal-based-Robust Invention (p. 163)
9.4.6 Response-based Robust Invention (p. 165)
9.4.7 Noise-factor-based Robust Invention (p. 167)
9.4.8 Control-factor-based Robust Invention (p. 169)
10 Design for Robustness (p. 171)
10.1 Engineered Quality (p. 171)
10.1.1 Evaluation of the Function Using Energy Transformation (p. 173)
10.1.2 Studying the Interactions between Control and Noise Factors (p. 174)
10.1.3 Use of Orthogonal Arrays (OAs) and Signal-to-Noise Ratios to Improve Robustness (p. 174)
10.1.4 Two-step Optimization (p. 174)
10.1.5 Tolerance Design Using Quality Loss Function (p. 174)
10.2 Additional Topics in Designing for Robustness (p. 175)
10.2.1 Parameter Diagram (P-diagram) (p. 175)
10.2.2 Design of Experiments (p. 176)
10.2.3 Signal-to-Noise (S/N) Ratios (p. 178)
10.3 Role of Simulations in Design for Robustness (p. 179)
10.4 Example - Circuit Stability Design (p. 180)
10.4.1 Control Factors and Noise Factors (p. 181)
10.4.2 Parameter Design (p. 182)
10.5 PCB Drilled-hole Quality Improvement (p. 184)
10.5.1 Introduction (p. 185)
10.5.2 Drilled-hole Quality Characteristics (p. 186)
10.5.3 Background (p. 186)
10.5.4 Hole-quality Standard (p. 187)
10.5.5 Experiment Description (p. 190)
10.5.6 Selection of Levels for These Factors (p. 191)
10.5.7 Designing the Experiment (p. 192)
10.5.8 Predictions and Confirmation Run (p. 195)
10.5.9 Benefits (p. 196)
10.6 Design of a Valveless Micropump Using Taguchi Methods (p. 197)
10.6.1 Introduction (p. 197)
10.6.2 Working Principle and Finite Element Modeling (p. 199)
10.6.3 Design for Robustness (p. 200)
10.6.4 Conclusions (p. 208)
11 Robust System Testing (p. 209)
11.1 Introduction (p. 209)
11.1.1 A Typical System Used in Testing (p. 210)
11.1.2 Role of the Orthogonal Arrays (p. 211)
11.2 Method of Software Testing (p. 212)
11.2.1 Study of Two-factor Combinations (p. 213)
11.2.2 Construction of Combination Tables (p. 213)
11.3 MTS Software Testing (Case Study 1) (p. 215)
11.4 Case Study 2 (p. 219)
11.4.1 Analysis of Results (p. 221)
11.4.2 Debugging the Software (p. 221)
11.5 Conclusions (p. 223)
12 Development of Multivariate Measurement System Using the Mahalanobis-Taguchi Strategy (p. 225)
12.1 What Is Mahalanobis-Taguchi Strategy? (p. 226)
12.2 Stages in MTS (p. 229)
12.3 Signal-to-Noise Ratio - A Measure of Prediction Accuracy (p. 231)
12.3.1 Types of S/N Ratios in MTS (p. 232)
12.4 Medical Case Study (p. 234)
12.4.1 Stage 1: Development of Measurement Scale Using Mahalanobis Space (p. 234)
12.4.2 Stage 2: Validation of the Measurement Scale (p. 235)
12.4.3 Stage 3: Identification of Useful Variables (Development Stage) (p. 236)
12.5 Case Example 2: Auto Marketing Case Study (p. 240)
12.5.1 Introduction (p. 240)
12.5.2 Construction of Mahalanobis Space (p. 241)
12.5.3 Validation of the Measurement Scale (p. 241)
12.5.4 Identification of Useful Variables (p. 242)
12.6 Case Study 3: Improving Client Experience (p. 245)
12.6.1 Methodology (p. 245)
12.6.2 Improvements Made Based on Recommendations from MTS Analysis (p. 246)
12.7 Improvement of the Utility Rate of Nitrogen while Brewing Soy Sauce (p. 247)
12.7.1 Introduction (p. 247)
12.7.2 Process of Producing Soy Sauce or Tamari (p. 248)
12.7.3 Selection of Factors for MTS Application (p. 248)
12.7.4 MTS for Aging (p. 249)
12.7.5 MTS for Koji-molding (p. 249)
12.8 Application of MTS for Measuring Oil in Water Emulsion (p. 250)
12.8.1 Introduction (p. 250)
12.8.2 Application of MTS (p. 251)
12.9 Prediction of Fasting Plasma Glucose (FPG) from Repetitive Annual Health Check-up Data (p. 252)
12.9.1 Introduction (p. 252)
12.9.2 Diabetes Mellitus (p. 253)
12.9.3 Application of MTS (p. 253)
References (p. 255)
Appendixes (p. 263)
Appendix A TRIZ Contradiction Matrix (p. 265)
Appendix B 40 TRIZ Inventive Principles (p. 267)
Appendix C Some Useful Orthogonal Arrays (p. 269)
Appendix D Equations for Signal-to-noise (S/N) Ratios (p. 277)
Appendix E Related Topics of Matrix Theory (p. 281)
Index (p. 287)

Author notes provided by Syndetics

Dr. Rajesh Jugulum is a Vice President of the Global Wealth and Investment Division of Bank of America
Dr. Philip Samuel is the Chief Innovation Officer for the Breakthrough Management Group, a managment consulting firm specializing in performance excellence and innovation

Design for lean six sigma / Rajesh Jugulum and Philip Samuel.

By: Jugulum, Rajesh .

Contributor(s): Samuel, Philip .

Enhanced descriptions from Syndetics:

Table of contents provided by Syndetics

Author notes provided by Syndetics

Cork Libraries

Kerry Libraries

Design for lean six sigma / Rajesh Jugulum and Philip Samuel.

By: Jugulum, Rajesh.

Contributor(s): Samuel, Philip.

Enhanced descriptions from Syndetics:

Table of contents provided by Syndetics

Author notes provided by Syndetics

Cork Libraries

Kerry Libraries

By: Jugulum, Rajesh .

Contributor(s): Samuel, Philip .