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The Mahalanobis-Taguchi System MTS
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The Mahalanobis-Taguchi System MTS

The Mahalanobis-Taguchi System MTS

Case Studies from Fuji, Mitsubishi, Nissan, Seiko, Epson, Sharp, Xerox and More

Genichi Taguchi, Subir Chowdhury, Yuin Wu

190 pages, parution le 01/08/2000

Résumé

The MAHALANOBIS-TAGUCHI SYSTEM (MTS) is a groundbreaking new philosophy that has been reshaping Japanese industry since its inception. Developed by award-winning quality engineering expert Dr. Genichi Taguchi - acknowledged as one of the most innovative thinkers in the field and based on the work of Indian Statistics giant Dr. P. C. Mahalanobis, the system provides a powerful process for recognizing patterns and forecasting results MTS goes beyond theory - it shows you exactly how international business giants have successfully put the system to work for them.

The book includes 15 fascinating case studies that provide an inside look at how organizations such as Fuji, Nissan, Sharp, Xerox and others have utilized the system effectively. MTS can be applied in patient monitoring, medical diagnosis, software, manufacturing, weather forecasting, automotive collision prevention system, and fire detection Doctors, researchers, engineers, insurance experts, financial analysts, programmers, and anyone else with an interest in pattern recognition and forecasting will find this book to a blueprint to improved decision-making.

Contents

Preface
Acknoledgements
Chapter 1: Introduction
Chapter 2: A Detailed Example of MTS
Chapter 3: Business-Process Forecasting
Section One -- Health Care
Chapter 4: Diagnosis of a Special Health Checking
Chapter 5: Application for Medical Treatment
Section Two -- Mechanical Industry
Chapter 6: Wafer Yield Prediction
Chapter 7: Inkject Quality Inspection
Chapter 8: Prevention of Driving Accidents
Section Three -- Electrical Industry
Chapter 9: Solder Joint Appearance Inspection
Chapter 10: Fire Alarm System Optimization
Section Four -- Chemical Industry
Chapter 11: Diagnosis of Photographic Processing Solution
Chapter 12: Pattern Recognition for Infrared Absorption Spectrum Analysis
Section Five -- Space Industry
Chapter 13: Fault Analysis
Section Six -- Software Industry
Chapter 14: Valuation of a Programmer's Capability
Chapter 15: Handwriting Recognition
Section Seven -- Government
Chapter 16: U.S. Dollar Bill Inspection
Index

L'auteur - Genichi Taguchi

Genichi Taguchi is Executive Director of the American Supplier Institute, an international organization that trains and consults on quality management and engineering. Winner of the Dening Prize of Japan and the Shewhart Medal of the American Society for Quality, Dr. Taguchi developed the statistical and logical systems for rapid improvements in product quality and product development that have revolutionized automobile and other industries in America and in his home country of Japan.

L'auteur - Subir Chowdhury

SUBIR CHOWDHURY is Chairman and CEO of ASI Consulting Group-the world leader on Six Sigma and quality leadership implementation consulting and training. As one of the world's foremost authorities in helping leaders achieve positive and measurable results in business process improvement, Chowdhury's clients include global Fortune 100 companies as well as small organizations in both the public and private sectors. Hailed by the New York Times as a "leading quality expert," Chowdhury is the author of eleven books, including the international bestseller The Power of Six Sigma, which has been translated in more than twenty languages and has sold more than a million copies.

L'auteur - Yuin Wu

Yuin Wu is Executive Director of the American Supplier Institute and conducted the first Taguchi Methods experiments in the U.S. while working in private industry in California. He also provides consultation and training on Robust Engineering and MTS.

Caractéristiques techniques

  PAPIER
Éditeur(s) Mc Graw Hill
Auteur(s) Genichi Taguchi, Subir Chowdhury, Yuin Wu
Parution 01/08/2000
Nb. de pages 190
Format 16 x 23,5
Couverture Relié
Poids 452g
Intérieur Noir et Blanc
EAN13 9780071362634

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