TY  - BOOK
AU  - Arner,Magnus
TI  - Statistical robust design: an industrial perspective
SN  - 9781118625033
U1  - SB:745.2 23rd.
PY  - 2014///
CY  - Chichester
PB  - John Wiley
KW  - Industrial design
KW  - Robust statistics
N1  - Includes index; 1. What is robust design?--
2. DOE for robust design, part 1--
3. Noise and control factors--
4. Response, signal, and P diagrams--
5. DOE for robust design, part 2--
6. Smaller-the-better and larger-the-better--
7. Regression for robust design--
8. Mathematics of robust design--
9. Design and analysis of computer experiments--
10. Monte Carlo methods for robust design--
11. Taguchi and his ideas on robust design
N2  - Robust Design is an important topic in many areas of the manufacturing industry, there is little on the market that provides adequate coverage. This book deals with the statistical theory of how to design products to be robust against random variation in ""noise"". It adopts a practice-oriented approach to robust design, digressing from the traditional Taguchi approach. Examples featured are taken from an industrial setting to illustrate how to make use of statistics to identify robust design solutions.
ER  -