This resource shows how to harness the power of an amazing new pattern-recognition and forecasting method from Dr. Genichi Taguchi, a world-renowned quality genius. Fifteen case studies from the U.S. and Japan show how industry giants used the MTS effectively in their organizations. This is the first book on this subject.
The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers an overview of pattern recognition issues and the precepts of the MT system. explains the merits of the MT System and its computational methods. shows how to handle data with the MT System and extract useful information. provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system. provides case study examples of MT Systems applications.
This book, written by one of the founding fathers of statistical quality control, covers the latest measurement technology for multi- variable processes.
Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods
In the last fifty years, one man stands out as the driving force behind the quality revolution--Genichi Taguchi. Now, for the first time in one volume, Taguchi's Quality Engineering Handbook presents all the methods and beliefs that have made Taguchi one of the most respected authorities on quality engineering and management in the world. No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today's leading companies. (Midwest).
As quality becomes an increasingly essential factor for achieving business success, building quality improvement into all stages—product planning, product design, and process design—instead of just manufacturing has also become essential. Quality Engineering: Off-Line Methods and Applications explores how to use quality engineering methods and other modern techniques to ensure design optimization at every stage. The book takes a broad approach, focusing on the user’s perspective and building a well-structured framework for the study and implementation of quality engineering. Starting with the basics, this book presents an overall picture of quality engineering. The author delineates quality engineering methods such as DOE, Taguchi, and RSM as well as computational intelligence approaches. He discusses how to use a general computational intelligence approach to improve product quality and process performance. He also provides extensive examples and case studies, numerous exercises, and a glossary of basic terms. By adopting quality engineering, the defect rate during manufacturing shows noticeable improvement, the production cost is significantly lower, and the quality and reliability of products can be enhanced. Taking an integrated approach that makes the methods of upstream quality improvement accessible, without extensive mathematical treatments, this book is both a practical reference and an excellent textbook.
In the completely revised second edition, additional chapters and more case studies add to the clear, simple, and essentially non-mathematical presentation of the basic concepts, techniques, and applications of the renowned Taguchi approach. This practical guide introduces the fundamentals of Taguchi experimental design and shows engineers how to design, analyze, and interpret experiments for a wide range of common products and processes. What Readers Are Saying "...a clear, step-by-step guide to the Taguchi design of experiments method. The careful descriptions, calculations, and examples demonstrate the versatility of these practical and powerful tools." —Fred Schenkelberg, Consultant, FMS Reliability, Los Gatos, California "Dr. Roy presents the theory and relates it to practical examples, explaining difficult concepts in an understandable manner. This is an easy-to-read, right-on-the-mark guide to understanding and applying Taguchi robust design and DOE. Readers will find these techniques extremely useful, practical, and easily applied to the daily job." —George Li, Process Improvement Manager, Research in Motion, Waterloo, Ontario, Canada "The book has a detailed discussion of Taguchi methods that are not covered in great detail in many books on DOE." —Frederick H. Long, President, Spectroscopic Solutions, LLC, Randolph, New Jersey "Dr. Roy's name is instantly associated with Taguchi methodologies in the manufacturing industries. His skill set is also being recognized for project management instruction. The new edition includes more easy-to-follow descriptions and examples." —Andrea Stamps, Engineering Specialist, Six Sigma Master Black Belt, General Dynamics, Southfield, Michigan "Research engineers, process development engineers, pilot plant engineers, design engineers, national research labs and academic research laboratories should use this book extensively. It's a practical textbook on how to maximize output with minimal use of resources." —Dr. Naresh Mahamuni, Research Associate, North Carolina A&T University, Greensboro, North Carolina "Dr. Roy has many years of practical experience helping engineers understand and improve their engineering, reliability, and problem-solving skills using Dr. Taguchi's ideas. He anticipates questions engineers would ask and provides information exactly when it is needed." —Larry R. Smith, Quality and Reliability Manager (retired), Ford Motor Co., Dearborn, Michigan "A large number of examples support the contents. Case studies are enumerated, which is a strength of the book." —Dr. Pradeep Kumar, Professor and Head, Dept. of Mechanical and Industrial Engineering, IIT Roorkee, Uttarakhand, India "Dr. Roy's book lists many application examples that can help engineers use the Taguchi method effectively." —Dr. Side Zhao, Control Engineer, NACCO Materials Handling Group, Portland, Oregon "The author's experience on the topic is what makes this book very useful as a principal reference in teaching the Taguchi method in quality engineering." —Dr. Carlos Diaz Ramos, Research Professor, Instituto Tecnologico de Orizaba and Universidad Veracruzana, Mexico "The author is able to explain concepts in a very knowledgeable yet down-to-earth and systematic manner. The material is very well organized." —Kush Shah, Manager, Alternative Propulsion Technology Quality, General Motors, LLC, Pontiac, Michigan "This book is a valuable introductory text in Taguchi methods with a number of illustrative examples and case studies that make the concepts clearer than books with theory only." —Dr. R. Mahalinga Iyer, Senior Lecturer, Queensland University of Technology, Brisbane, Queensland, Australia.
Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Comprised of contributions from renowned academicians and practitioners in the field, Statistical Analysis of Profile Monitoring presents the latest state-of-the-art research on the use of control charts to monitor process and product quality profiles. The book presents comprehensive coverage of profile monitoring definitions, techniques, models, and application examples, particularly in various areas of engineering and statistics. The book begins with an introduction to the concept of profile monitoring and its applications in practice. Subsequent chapters explore the fundamental concepts, methods, and issues related to statistical profile monitoring, with topics of coverage including: Simple and multiple linear profiles Binary response profiles Parametric and nonparametric nonlinear profiles Multivariate linear profiles monitoring Statistical process control for geometric specifications Correlation and autocorrelation in profiles Nonparametric profile monitoring Throughout the book, more than two dozen real-world case studies highlight the discussed topics along with innovative examples and applications of profile monitoring. Statistical Analysis of Profile Monitoring is an excellent book for courses on statistical quality control at the graduate level. It also serves as a valuable reference for quality engineers, researchers and anyone who works in monitoring and improving statistical processes.
Describes how to conduct robust technology development in a time- and cost-efficient manner, as originated by Dr. Taguchi in the early 1990s, and includes all aspects for the development of robust technology and robust products: quality philosophy, quality strategies/planning, management and organization, robust design methods/tools, and real-life case studies from industry.