Includes bibliographical references and index.

Foreword xv Preface xvii Acknowledgments xxvii PART I Introduction to Organizational Leadership, Financial Performance, and Value Management Using Design For Six Sigma 1 CHAPTER 1 The Role of Executive and Management Leadership in Design For Six Sigma 3 CHAPTER 2 Measuring Financial Results from DFSS Programs and Projects 13 CHAPTER 3 Managing Value with Design For Six Sigma 29 PART II Introduction to the Major Processes Used in Design For Six Sigma in Technology and Product Development 45 CHAPTER 4 Management of Product Development Cycle-Time 47 CHAPTER 5 Technology Development Using Design For Six Sigma 71 CHAPTER 6 Product Design Using Design For Six Sigma 111 CHAPTER 7 System Architecting, Engineering, and Integration Using Design For Six Sigma 177 PART III Introduction to the Use of Critical Parameter Management in Design For Six Sigma in Technology and Product Development 249 CHAPTER 8 Introduction to Critical Parameter Management 251 CHAPTER 9 The Architecture of the Critical Parameter Management Process 257 CHAPTER 10 The Process of Critical Parameter Management in Product Development 265 CHAPTER 11 The Tools and Best Practices of Critical Parameter Management 309 CHAPTER 12 Metrics for Engineering and Project Management Within CPM 321 CHAPTER 13 Data Acquisition and Database Architectures in CPM 331 PART IV Tools and Best Practices for Invention, Innovation, and Concept Development 337 CHAPTER 14 Gathering and Processing the Voice of the Customer: Customer Interviewing and the KJ Method 341 CHAPTER 15 Quality Function Deployment: The Houses of Quality 361 CHAPTER 16 Concept Generation and Design for x Methods 381 CHAPTER 17 The Pugh Concept Evaluation and Selection Process 399 CHAPTER 18 Modeling: Ideal/Transfer Functions, Robustness Additive Models, and the Variance Model 411 PART V Tools and Best Practices for Design Development 435 CHAPTER 19 Design Failure Modes and Effects Analysis 437 CHAPTER 20 Reliability Prediction 449 CHAPTER 21 Introduction to Descriptive Statistics 471 CHAPTER 22 Introduction to Inferential Statistics 479 CHAPTER 23 Measurement Systems Analysis 495 CHAPTER 24 Capability Studies 507 CHAPTER 25 Multi-Vari Studies 519 CHAPTER 26 Regression 529 CHAPTER 27 Design of Experiments 549 PART VI Tools and Best Practices for Optimization 569 CHAPTER 28 Taguchi Methods for Robust Design 571 CHAPTER 29 Response Surface Methods 601 CHAPTER 30 Optimization Methods 615 PART VII Tools and Best Practices for Verifying Capability 629 CHAPTER 31 Analytical Tolerance Design 631 CHAPTER 32 Empirical Tolerance Design 671 CHAPTER 33 Reliability Evaluation 687 CHAPTER 34 Statistical Process Control 707