John Wiley & Sons Reliability Engineering Cover Using the authors' extensive experience in both industry and academia, this book presents an integra.. Product #: 978-1-118-14067-3 Regular price: $139.25 $139.25 Auf Lager

Reliability Engineering

Kapur, Kailash C. / Pecht, Michael

Wiley Series in Systems Engineering and Management (Band Nr. 1)

Cover

1. Auflage Mai 2014
512 Seiten, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-118-14067-3
John Wiley & Sons

Kurzbeschreibung

Using the authors' extensive experience in both industry and academia, this book presents an integrated approach for design, engineering and management of the reliability activities throughout the life cycle of a product which includes concept, research and development, design, manufacturing, assembly, sales and service. The coverage explains how to integrate reliability methods and techniques in the Six Sigma Process and Design for Six Sigma. It also discusses relationships between warranty and reliability, as well as legal and liability issues. This useful guide teaches readers how to effectively distribute key reliability practices throughout an organization.

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An Integrated Approach to Product Development

Reliability Engineering presents an integrated approach to the design, engineering, and management of reliability activities throughout the life cycle of a product, including concept, research and development, design, manufacturing, assembly, sales, and service. Containing illustrative guides that include worked problems, numerical examples, homework problems, a solutions manual, and class-tested materials, it demonstrates to product development and manufacturing professionals how to distribute key reliability practices throughout an organization.

The authors explain how to integrate reliability methods and techniques in the Six Sigma process and Design for Six Sigma (DFSS). They also discuss relationships between warranty and reliability, as well as legal and liability issues. Other topics covered include:
* Reliability engineering in the 21st Century
* Probability life distributions for reliability analysis
* Process control and process capability
* Failure modes, mechanisms, and effects analysis
* Health monitoring and prognostics
* Reliability tests and reliability estimation

Reliability Engineering provides a comprehensive list of references on the topics covered in each chapter. It is an invaluable resource for those interested in gaining fundamental knowledge of the practical aspects of reliability in design, manufacturing, and testing. In addition, it is useful for implementation and management of reliability programs.

Preface xv

1 Reliability Engineering in the Twenty-First Century 1

1.1 What Is Quality? 1

1.2 What Is Reliability? 2

1.3 Quality, Customer Satisfaction, and System Effectiveness 6

1.4 Performance, Quality, and Reliability 7

1.5 Reliability and the System Life Cycle 8

1.6 Consequences of Failure 12

1.7 Suppliers and Customers 16

1.8 Summary 16

Problems 17

2 Reliability Concepts 19

2.1 Basic Reliability Concepts 19

2.2 Hazard Rate 26

2.3 Percentiles Product Life 33

2.4 Moments of Time to Failure 35

2.5 Summary 39

Problems 40

3 Probability and Life Distributions for Reliability Analysis 45

3.1 Discrete Distributions 45

3.2 Continuous Distributions 51

3.3 Probability Plots 77

3.4 Summary 83

Problems 84

4 Design for Six Sigma 89

4.1 What Is Six Sigma? 89

4.2 Why Six Sigma? 90

4.3 How Is Six Sigma Implemented? 91

4.4 Optimization Problems in the Six Sigma Process 98

4.5 Design for Six Sigma 103

4.6 Summary 108

Problems 108

5 Product Development 111

5.1 Product Requirements and Constraints 112

5.2 Product Life Cycle Conditions 113

5.3 Reliability Capability 114

5.4 Parts and Materials Selection 114

5.5 Human Factors and Reliability 115

5.6 Deductive versus Inductive Methods 117

5.7 Failure Modes, Effects, and Criticality Analysis 117

5.8 Fault Tree Analysis 119

5.9 Physics of Failure 128

5.10 Design Review 131

5.11 Qualification 132

5.12 Manufacture and Assembly 134

5.13 Analysis, Product Failure, and Root Causes 137

5.14 Summary 138

Problems 138

6 Product Requirements and Constraints 141

6.1 Defi ning Requirements 141

6.2 Responsibilities of the Supply Chain 142

6.3 The Requirements Document 144

6.4 Specifi cations 144

6.5 Requirements Tracking 146

6.6 Summary 147

Problems 147

7 Life-Cycle Conditions 149

7.1 Defining the Life-Cycle Profile 149

7.2 Life-Cycle Events 150

7.3 Loads and Their Effects 152

7.4 Considerations and Recommendations for LCP Development 160

7.5 Methods for Estimating Life-Cycle Loads 165

7.6 Summary 166

Problems 167

8 Reliability Capability 169

8.1 Capability Maturity Models 169

8.2 Key Reliability Practices 170

8.3 Summary 175

Problems 175

9 Parts Selection and Management 177

9.1 Part Assessment Process 177

9.2 Parts Management 185

9.3 Risk Management 188

9.4 Summary 190

Problems 191

10 Failure Modes, Mechanisms, and Effects Analysis 193

10.1 Development of FMMEA 193

10.2 Failure Modes, Mechanisms, and Effects Analysis 195

10.3 Case Study 201

10.4 Summary 205

Problems 206

11 Probabilistic Design for Reliability and the Factor of Safety 207

11.1 Design for Reliability 207

11.2 Design of a Tension Element 208

11.3 Reliability Models for Probabilistic Design 209

11.4 Example of Probabilistic Design and Design for a Reliability Target 211

11.5 Relationship between Reliability, Factor of Safety, and Variability 212

11.6 Functions of Random Variables 215

11.7 Steps for Probabilistic Design 219

11.8 Summary 219

Problems 220

12 Derating and Uprating 223

12.1 Part Ratings 223

12.2 Derating 225

12.3 Uprating 239

12.4 Summary 245

Problems 246

13 Reliability Estimation Techniques 247

13.1 Tests during the Product Life Cycle 247

13.2 Reliability Estimation 249

13.3 Product Qualifi cation and Testing 250

13.4 Case Study: System-in-Package Drop Test Qualifi cation 263

13.5 Basic Statistical Concepts 276

13.6 Confi dence Interval for Normal Distribution 279

13.7 Confidence Intervals for Proportions 282

13.8 Reliability Estimation and Confidence Limits for Success-Failure Testing 283

13.9 Reliability Estimation and Confidence Limits for Exponential Distribution 287

13.10 Summary 292

Problems 292

14 Process Control and Process Capability 295

14.1 Process Control System 295

14.2 Control Charts 299

14.3 Benefi ts of Control Charts 316

14.4 Average Outgoing Quality 317

14.5 Advanced Control Charts 323

14.6 Summary 325

Problems 326

15 Product Screening and Burn-In Strategies 331

15.1 Burn-In Data Observations 332

15.2 Discussion of Burn-In Data 333

15.3 Higher Field Reliability without Screening 334

15.4 Best Practices 335

15.5 Summary 336

Problems 337

16 Analyzing Product Failures and Root Causes 339

16.1 Root-Cause Analysis Processes 341

16.2 No-Fault-Found 351

16.3 Summary 373

Problems 374

17 System Reliability Modeling 375

17.1 Reliability Block Diagram 375

17.2 Series System 376

17.3 Products with Redundancy 381

17.4 Complex System Reliability 393

17.5 Summary 401

Problems 402

18 Health Monitoring and Prognostics 409

18.1 Conceptual Model for Prognostics 410

18.2 Reliability and Prognostics 412

18.3 PHM for Electronics 414

18.4 PHM Concepts and Methods 417

18.5 Monitoring and Reasoning of Failure Precursors 420

18.6 Implementation of PHM in a System of Systems 429

18.7 Summary 431

Problems 431

19 Warranty Analysis 433

19.1 Product Warranties 434

19.2 Warranty Return Information 435

19.3 Warranty Policies 436

19.4 Warranty and Reliability 437

19.5 Warranty Cost Analysis 439

19.6 Warranty and Reliability Management 448

19.7 Summary 449

Problems 449

Appendix A: Some Useful Integrals 451

Appendix B: Table for Gamma Function 453

Appendix C: Table for Cumulative Standard Normal Distribution 455

Appendix D: Values for the Percentage Points talpha,nu of the t-Distribution 457

Appendix E: Percentage Points chi2alpha ,nu of the Chi-Square Distribution 461

Appendix F: Percentage Points for the F-Distribution 467

Bibliography 473

Index 487
KAILASH KAPUR, PHD, is a Professor of Industrial & Systems Engineering at the University of Washington, where he was also the Director from 1993 to 1999. Dr. Kapur has worked with General Motors Research Laboratories as a senior research engineer, Ford Motor Company as a visiting scholar, and the U.S. Army, Tank-Automotive Command as a reliability engineer. He is a Fellow of ASQ and IIE, and a registered professional engineer.

MICHAEL PECHT, PHD, is the founder of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world's leading electronics companies. He is also a Chair Professor in Mechanical Engineering and a Professor in Applied Mathematics at the University of Maryland. He consults for twenty-two major international electronics companies.

K. C. Kapur, University of Washington, Seattle; M. Pecht, University of Maryland, College Park