Genichi Taguchi
| Use attributes for filter ! | |
| Death | 13 years ago |
|---|---|
| Date of birth | January 1,1924 |
| Zodiac sign | Capricorn |
| Born | Tokamachi |
| Niigata | |
| Japan | |
| Date of died | June 2,2012 |
| Died | Tokyo |
| Japan | |
| Known for | Taguchi methods |
| Job | Engineer |
| Awards | Shewhart Medal |
| Nationality | Japanese |
| Education | Kyushu University |
| Gunma University - Aramaki Campus | |
| Alma mater | Kiryu Technical College |
| Date of Reg. | |
| Date of Upd. | |
| ID | 544690 |
Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market
Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream
Quality Engineering in Production Systems
The mahalanobis-taguchi strategy
Taguchi Methods: Research and Development
Taguchi Methods: On-line production
Taguchi Methods: Signal-To-Noise Ratio for Quality Evaluation
Taguchi Methods: Case Studies from Japan
Quality Engineering Series: Taguchi methods, case studies from the U. S. and Europe
The Mahalanobis-Taguchi System
Introduction to Quality Engineering: Designing Quality Into Products and Processes
Taguchi's Quality Engineering Handbook
Robust Engineering: Learn How to Boost Quality While Reducing Costs Time to Market
Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream
Quality Engineering in Production Systems
The mahalanobis-taguchi strategy
Taguchi Methods: Research and Development
Taguchi Methods: On-line production
Taguchi Methods: Signal-To-Noise Ratio for Quality Evaluation
Taguchi Methods: Case Studies from Japan
Quality Engineering Series: Taguchi methods, case studies from the U. S. and Europe
The Mahalanobis-Taguchi System
Introduction to Quality Engineering: Designing Quality Into Products and Processes
Taguchi's Quality Engineering Handbook
Robust Engineering: Learn How to Boost Quality While Reducing Costs Time to Market
Genichi Taguchi Life story
Genichi Taguchi was an engineer and statistician. From the 1950s on, Taguchi developed a methodology for applying statistics to improve the quality of manufactured goods.