Statistical robust design : an industrial perspective/ Magnus Arner
Material type:
- 9781118625033
- 23rd. SB:745.2 Ar748
Item type | Current library | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | SB:745.2 Ar748 (Browse shelf(Opens below)) | Available | Gifted by Prof. Ashis Kumar Chakraborty | C27559 | |||
Books | ISI Library, Kolkata | 000SB:745.2 Ar748 (Browse shelf(Opens below)) | Available | C26308 |
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SB:660.60285 C674 Statistics for Biotechnology Process Development/ | SB:661.2 Ak315 Experiment Optimization in Chemistry and Chemical Engineering/ | SB:661 D255 Statistical methods in research and production: with special reference to the chemical industry/ | SB:745.2 Ar748 Statistical robust design : an industrial perspective/ | Sc:300(54) Tp.44/70/2 Interpenetrating sub-samples with and without replace | SC:001.433 SM Survey methodology | SC:001.433 SM Survey methodology |
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
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.
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