This book gives the reader tools for optimizing performance and reducing variation in manufacturing. Statistical process control and Taguchi methods are featured in the book along with other less published techniques. The book covers the product life cycle from design to manufacturing and is aimed at improving industrial practice. Methods are shown through case studies and extensive graphics are used to illustrate points.

Reducing the variation in process outputs is a key part of process improvement. For mass produced components and assemblies, reducing variation can simultaneously reduce overall cost, improve function and increase customer satisfaction with the product. The authors have structured this book around an algorithm for reducing process variation that they call "Statistical Engineering." The algorithm is designed to solve chronic problems on existing high to medium volume manufacturing and assembly processes. The fundamental basis for the algorithm is the belief that we will discover cost effective changes to the process that will reduce variation if we increase our knowledge of how and why a process behaves as it does. A key way to increase process knowledge is to learn empirically, that is, to learn by observation and experimentation. The authors discuss in detail a framework for planning and analyzing empirical investigations, known by its acronym QPDAC (Question, Plan, Data, Analysis, Conclusion). They classify all effective ways to reduce variation into seven approaches. A unique aspect of the algorithm forces early consideration of the feasibility of each of the approaches. Also includes case studies, chapter exercises, chapter supplements, and six appendices. PRAISE FOR Statistical Engineering "I found this book uniquely refreshing. Don't let the title fool you. The methods described in this book are statistically sound but require very little statistics. If you have ever wanted to solve a problem with statistical certainty (without being a statistician) then this book is for you. - A reader in Dayton, OH "This is the most comprehensive treatment of variation reduction methods and insights I’ve ever seen."- Gary M. Hazard Tellabs "Throughout the text emphasis has been placed on teamwork, fixing the obvious before jumping to advanced studies, and cost of implementation. All this makes the manuscript !attractive for real-life application of complex techniques." - Guru Chadhabr Comcast IP Services COMMENTS FROM OTHER CUSTOMERS Average Customer Rating (5 of 5 based on 1 review) "This is NOT a typical book on statistical tools. It is a strategy book on how to search for cost-effective changes to reduce variation using empirical means (i.e. observation and experiment). The uniqueness of this book: Summarizes the seven ways to reduce variation so we know the goal of the data gathering and analysis, present analysis results using graphs instead of P-value, and integrates Taguchi, Shainin methods, and classical statistical approach. It is a must read for those who are in the business of reducing variation using data, in particular for the Six Sigma Black Belts and Master Black Belts. Don't forget to read the solutions to exercises and supplementary materials to each chapter on the enclosed CD-ROM." - A. Wong, Canada

Since its initial publication, this text has defined courses in dynamic optimization taught to economics and management science students. The two-part treatment covers the calculus of variations and optimal control. 1998 edition.

The design and functional complexity of medical devices and systems has increased during the past half century, evolving from the level of cardiac pacemakers to magnetic resonance imaging devices. Such life-saving advancements are monumentally advantageous, but with so much at stake, a step-by-step manual for biomedical engineers is essential. This

Learning Six Sigma CAN be a painless process! Six Sigma is among the most effective process methods used today--and it's also among the most baffling topics to those new to the subject. The good news is Six Sigma DeMYSTiFieD, second edition, explains it all in a language you'll understand. This easy-to-understand reference teaches the methods of Six Sigma, explains their applications, and tests expertise--without confusing statistics and formulas. In notime, you'll develop the skills you need to solve problems, anticipate customer needs, and meet the demands of the most challenging markets. Filled with practical hands-on advice and essentialorganizational tips, Six Sigma DeMYSTiFieD providesa complete blueprint for developing strategies, plotting growth, and performing at peak efficiency for maximum profits. This fast and easy guide offers: Proven techniques for building a solid Six Sigma infrastructure Tips for deploying projects using DMAIC methodology Clear advice on when and how to use specific problem-solving tools Essential calculations and assumptions Case studies, quizzes, and a final exam that reinforce what you've learned Simple enough for a beginner but challenging enough for a more advanced student, Six Sigma DeMYSTiFieD is your shortcut to a solid foundation in this powerful improvement methodology.