Engineering Robust Designs With Six Sigma

"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

The first book to integrate axiomatic design and robust design fora comprehensive quality approach As the adoption of quality methods grows across various industries,its implementation is challenged by situations where statisticaltools are inadequate, yet the earlier a proactive quality system isintroduced into a given process, the greater the payback thesemethods will yield. Axiomatic Quality brings together two well-established theories,axiomatic design and robust design, to eliminate or reduce bothconceptual and operational weaknesses. Providing a completeframework for immediate implementation, this book guides designteams in producing systems that operate at high-quality levels foreach of their design requirements. And it shows the way towardsachieving the Six-Sigma target--six times the standard deviationcontained between the target and each side of the specificationlimits--for each requirement. This book develops an aggressive axiomatic quality approachthat: * Provides the tools to reduce conceptual weaknesses of systemsusing a framework called the conceptual design for capability * Reduces operational weaknesses of systems in terms of qualitylosses and control costs * Uses mathematical relationships to bridge the gap betweenscience-based engineering and quality methods Acclaro DFSS Light, a Java-based software package that implementsaxiomatic design processes, is available for download from a Wileyftp site. Acclaro DFSS Light is a software product of AxiomaticDesign Solutions, Inc. Laying out a comprehensive approach while working through eachaspect of its implementation, Axiomatic Quality is an essentialresource for managers, engineers, and other professionals who wantto successfully deploy the most advanced methodology to tacklesystem weaknesses and improve quality.

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.

Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real–world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented. This book promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty; includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering; takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work; includes case studies and illustrative examples that translate the theory into practice. Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.