Design for Six Sigma A Roadmap for Product Development 2nd Edition by Kai Yang, Basem EI Haik – Ebook PDF Instant Download/Delivery: 0071547673, 9780071547673
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Product details:
ISBN 10: 0071547673
ISBN 13: 9780071547673
Author: Kai Yang, Basem EI Haik
The Latest Tools and Guidance Needed to Implement Design for Six Sigma in New Product and Service Development! 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
Design for Six Sigma A Roadmap for Product Development 2nd Table of contents:
Chapter 1. Quality Concepts
1.1 What Is Quality?
1.2 Quality Assurance and Product/Service Life Cycle
1.3 Development of Quality Methods
1.4 Business Excellence, Whole Quality, and Other Metrics in Business Operations
1.5 Summary
Chapter 2. Six Sigma and Lean Fundamentals
2.1 What Is Six Sigma?
2.2 Process: The Basic Unit for the Six Sigma Improvement Project
2.3 Process Capability and Six Sigma
2.4 Overview of Six Sigma Process Improvement
2.5 Lean Operation Principles
2.6 Process Mapping, Value Stream Mapping, and Process Management
2.7 Six Sigma Goes Upstream: Design for Six Sigma (DFSS)
2.8 Summary
Chapter 3. Product Development Process and Design for Six Sigma
3.1 Introduction
3.2 More on the Product Development Process
3.3 Lean Principles in Product Development
3.4 Lean Product Development Approaches
3.5 What Is Design for Six Sigma?
3.6 Why “Design for Six Sigma”?
3.7 Design for Six Sigma (DFSS) Phases
3.8 More on Design Process and Design Vulnerabilities
3.9 Differences between Six Sigma and DFSS
3.10 What Kinds of Problems Can Be Solved by DFSS?
3.11 Design for a Six Sigma (DFSS) Company
3.12 Features of a Sound DFSS Strategy
Appendix: Historical Development in Design
Chapter 4. Design for Six Sigma Deployment
4.1 Introduction
4.2 Black Belt–DFSS Team: Cultural Change
4.3 DFSS Deployment Prerequisites
4.4 DFSS Deployment Strategy
4.5 DFSS Deployment Strategy Goals
4.6 Six Sigma Project Financial Management
4.7 DFSS Training
4.8 Elements Critical to Sustain DFSS Deployment
4.9 DFSS Sustainability Factors
Chapter 5. Design for Six Sigma Project Algorithm
5.1 Introduction
5.2 Form a Synergistic Design Team (DFSS Algorithm Step 1)
5.3 Determine Customer Expectations (DFSS Algorithm Step 2)
5.4 Understand Functional Requirements Evolution (DFSS Algorithm Step 3)
5.5 Generate Concepts (DFSS Algorithm Step 4)
5.6 Select the Best Concept (DFSS Algorithm Step 5)
5.7 Finalize the Physical Structure of the Selected Concept (DFSS Algorithm Step 6)
5.8 Initiate Design Scorecards and Transfer Function Development (DFSS Algorithm Step 7)
5.9 Assess Risk Using DFMEA/PFMEA (DFSS Algorithm Step 8)
5.10 Transfer Function Optimization (DFSS Algorithm Step 9)
5.11 Design for X (DFSS Algorithm Step 10)
5.12 Tolerance Design and Tolerancing (DFSS Algorithm Step 11)
5.13 Pilot and Prototyping Design (DFSS Algorithm Step 12)
5.14 Validate Deign (DFSS Algorithm Step 13)
5.15 Launch Mass Production (DFSS Algorithm Step 14)
5.16 Project Risk Management
5.17 Other DFSS Roadmaps
Chapter 6. DFSS Transfer Function and Scorecards
6.1 Introduction
6.2 Design Analysis
6.3 DFSS Design Synthesis
6.4 Design Scorecards and Transfer Function Development
Chapter 7. Quality Function Deployment (QFD)
7.1 Introduction
7.2 History of QFD
7.3 QFD Benefits, Assumptions, and Realities
7.4 QFD Methodology Overview
7.5 Kano Model of Quality
7.6 The Four Phases of QFD
7.7 QFD Analysis
7.8 QFD Example
7.9 Summary
Chapter 8. Axiomatic Design
8.1 Introduction
8.2 Why Axiomatic Design Is Needed
8.3 Design Axioms
8.4 The Independence Axiom (Axiom 1)
8.5 Coupling Measures
8.6 The Implications of Axiom 2
8.7 Case Study: Axiomatic Design of the Water Faucet
8.8 Summary
Appendix 8A: Axiomatic Design Theorems and Corollaries
Appendix 8B: Historical Development of Axiomatic Design
Chapter 9. Theory of Inventive Problem Solving (TRIZ)
9.1 Introduction
9.2 TRIZ Foundations
9.3 TRIZ Problem-Solving Process
9.4 Physical Contradiction Resolution/Separation Principles
9.5 Technical Contradiction Elimination—Inventive Principles
9.6 Functional Improvement Methods/TRIZ Standard Solutions
9.7 Complexity Reduction/Trimming
9.8 S-Curve Analysis of Technical Systems
9.9 Evolution of Technological Systems
9.10 Physical, Chemical, and Geometric Effects Database
9.11 Comparison of Axiomatic Design and TRIZ
Appendix: Contradiction Table of Inventive Principles
Chapter 10. Design for X
10.1 Introduction
10.2 Design for Manufacture and Assembly (DFMA)
10.3 Design for Reliability (DFR)
10.4 Design for Maintainability
10.5 Design for Serviceability
10.6 Design for Environmentality
10.7 Design for Life-Cycle Cost (LCC): Activity-Based Costing with Uncertainty
10.8 Summary
Chapter 11. Failure Mode-Effect Analysis
11.1 Introduction
11.2 FMEA Fundamentals
11.3 Design FMEA (DFMEA)
11.4 Process FMEA (PFMEA)
11.5 Quality Systems and Control Plans
Chapter 12. Fundamentals of Experimental Design
12.1 Introduction to Design of Experiments (DOE)
12.2 Factorial Experiment
12.3 Two-Level Full Factorial Designs
12.4 Fractional Two-Level Factorial Design
12.5 Three-Level Full Factorial Design
12.6 Incomplete Factorial Experiments
12.7 Summary
Chapter 13. Taguchi’s Orthogonal Array Experiment
13.1 Taguchi’s Orthogonal Arrays
13.2 Taguchi Experimental Design
13.3 Special Techniques
13.4 Taguchi Experiment Data Analysis
13.5 Summary
Appendix: Selected Orthogonal Arrays
Chapter 14. Design Optimization:Taguchi’s Robust Parameter Design
14.1 Introduction
14.2 Loss Function and Parameter Design
14.3 Loss Function and Signal-to-Noise Ratio
14.4 Noise Factors and Inner-Outer Arrays
14.5 Parameter Design for Smaller-the-Better Characteristics
14.6 Parameter Design for Nominal-the-Best Characteristics
14.7 Parameter Design for Larger-the-Better Characteristics
Chapter 15. Design Optimization: Advanced Taguchi Robust Parameter Design
15.1 Introduction
15.2 Design Synthesis and Technical Systems
15.3 Parameter Design for Dynamic Characteristics
15.4 Functional Quality and Dynamic S/N Ratio
15.5 Robust Technology Development
Chapter 16. Tolerance Design
16.1 Introduction
16.2 Worst-Case Tolerance
16.3 Statistical Tolerance
16.4 Cost-Based Optimal Tolerance
16.5 Taguchi’s Loss Function and Safety Tolerance Design
16.6 Taguchi’s Tolerance Design Experiment
16.7 Computer-Aided Robust Parameter and Tolerance Design
Chapter 17. Response Surface Methodology
17.1 Introduction
17.2 Search and Identify the Region That Contains the Optimal Solution
17.3 Response Surface Experimental Designs
17.4 Response Surface Experimental Data Analysis for Single Response
17.5 Response Surface Experimental Data Analysis for Multiple Responses
17.6 Mixture Experiments
Chapter 18. Design Validation
18.1 Introduction
18.2 Design Analysis and Testing
18.3 Prototypes
18.4 Process and Production Validation
18.5 DFSS Validation and Measurement
Appendix: Glossary of Terms
Acronyms
References
Index
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Tags: Kai Yang, Basem EI Haik, Six Sigma, Product Development, A Roadmap