This is the first book on the Taguchi method designed specifically to help engineers working in the field of imaging and patterning science and technology to get up to speed with the Method quickly and easily. Using an abundance of case-study examples, the book outlines Taguchi's quality management steps. Features the latest of Taguchi's ideas which were developed in 1988-1992--e.g., the SN Ratio.

Taguchi Techniques for Image and Pattern Developing Technology

Science & Math

Mori, Teruo

Technology

PRENTICE/HALL

<p>With a Foreword by Dr. Genichi Taguchi. Newly translated from the Japanese edition, this unique and practical book is unlike others in the area of robust design. The expert author 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. As a result, this book is written to teach engineers from various backgrounds the fundamentals of quality engineering such as: 2-step robust design, parameter design, tolerance design, quality loss function, S/N (signal-to-noise) ratios, orthogonal arrays, additive confirmation, and more. This book also provides engineering managers and executives with a practical blueprint for company-wide implementation of quality engineering. Numerous award-winning case studies are discussed to illustrate the uses and benefits of practical statistical analyses such as main-effect plots, and analysis of variance. Bonus online content: Over 200 pages of free Appendix material for this book will be exclusively available on the ASME Digital Library.</p>

Taguchi Methods: Benefits, Impacts, Mathematics, Statistics, and Applications

Business & Money

Management & Leadership

American Society of Mechanical Engineers

The New Experimental Design: Taguchi's Approach to Quality Engineering

Amer Supplier Inst

Conference Matrices for Optimizing and Applications: High-Precision Estimation Method with Small Number of Experiments

Earth Sciences

Springer

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