"Dr. Wang's work is of the highest caliber. He has the ability to take very complex subjects and to present them very clearly. He makes excellent use of examples throughout the book." --Donald W. Sova, Ph.D., Booz Allen Hamilton "I have not seen a text that provides such broad coverage of the topic. The foremost feature of this is competitive advantage. This product should provide superior utility at a lower cost to both the consumer and to the producer. Competitive advantage is rapidly becoming a necessity to stay in the game." --Jeffrey B. Lynch, Northrop Grumman Corporation "Few, if any, other people have the experience in both quality engineering (Six Sigma) and in product engineering that could match Dr. Wang's. A great deal of the unique value of this book is the integration of ideas from these two disciplines." --Marvin L. Roush, Professor Emeritus, University of Maryland at College Park Leverage Six Sigma to Transform Product Design and Development Today's customers demand unprecedented reliability, efficiency, flexibility, and affordability. To deliver products, this robust, quality manufacturing isn't enough; Six Sigma processes must begin in the earliest stages of design. Now, one of the field's leading experts offers the first complete blueprint for implementing Six Sigma product design. John X. Wang has transformed product design at companies ranging from Maytag and Visteon to General Electric. In this book, he illuminates the full spectrum of proven techniques, from Voice-of-Customer (VOC) and Critical-to-Quality (CTQ) to Kano modeling. You'll discover how Six Sigma can bridge critical gaps between research and development, product and process, and how it can help you quickly respond to any change, from new suppliers to emerging customer requirements. Topics covered include Starting out: identifying projects, organizing teams, developing VOC models, formulating CTQ characteristics Creating robust design concepts: principles, practical techniques, and engineering parameters Kano modeling: delighting customers and responding to their evolving requirements QFD: building a "house of quality" that reflects both spoken and unspoken customer needs Failure Mode and Effect Analysis (FMEA): preventing failures, mitigating risks Minimizing lifecycle cost through effective tolerance design Designing in long-term reliability If you're an engineer, manager, or quality professional who's ready to drive breakthrough improvements in product design and development, Dr. John X. Wang will guide you, every step of the way, to success.

This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Robust Design is the procedure used by design engineers to reduce the effects of order to produce the highest quality products possible. This book includes real life case studies focusing on mechanical, chemical and imaging design that illustrate potential problems and their solutions and offers WinRobust Lite software and practice problems.

Design for Six Sigma (DFSS) is an innovative continuous improvement methodology for designing new products, processes, and services by integrating Lean and Six Sigma principles. This book will explain how the DFSS methodology is used to design robust products, processes, or services right the first time by using the voice of the customer to meet Six Sigma performance. Robust designs are insensitive to variation and provide consistent performance in the hands of the customer. DFSS is used to meet customer needs by understanding their requirements, considering current process capability, identifying and reducing gaps, and verifying predictions to develop a robust design. This book offers: Methodology on how to implement DFSS in various industries Practical examples of the use of DFSS Sustainability utilizing Lean Six Sigma techniques and Lean product development Innovative designs using DFSS with concept generation Case studies for implementing the DFSS methodology Design for Six Sigma (DFSS) enables organizations to develop innovative designs. In order to redesign an existing process or design a new process, the success is dependent on a rigorous process and methodology. DFSS ensures that there are minimal defects in the introduction of new products, processes, or services. The authors have compiled all of the tools necessary for implementation of a practical approach though innovation.

This book addresses many new topical areas for the development of 6 Sigma performance. The text is structured to demonstrate how 6 Sigma methods can be used as a very powerful tool within System Engineering and integration evaluations to help enable the process of Critical Parameter Management. The case studies and examples used throughout the book come from recent successful applications of the material developed in the text.

This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution