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Probabilistic Design for Optimization and Robustness for Engineers
book

Probabilistic Design for Optimization and Robustness for Engineers

by Bryan Dodson, Patrick Hammett, Rene Klerx
September 2014
Intermediate to advanced
272 pages
6h 59m
English
Wiley
Content preview from Probabilistic Design for Optimization and Robustness for Engineers

References

  1. Agresti, A. (1996). An introduction to categorical data analysis. New York, NY: Wiley.
  2. Assistant Secretary of Defense for Research and Engineering. (2011). Technology Readiness Assessment (TRA) Guidance. Washington, DC: Department of Defense.
  3. Automotive Industry Action Group. (2006). Production part approval process (PPAP) (4th ed.). Southfleld, MI: AIAG.
  4. Automotive Industry Action Group. (2008). Advanced product quality planning (APQP) and control plan: Reference manual (2nd ed.). Southfleld, MI: AIAG.
  5. Automotive Industry Action Group. (2008). Potential failure mode and effects analysis (FMEA): Reference manual (4th ed.). Southfleld, MI: AIAG.
  6. Berger, C., Blauth, R., Boger, D., Bolster, C., Burchill, G., DuMouchel, W., Pouliot,F., Richter, R., Rubinoff, A., Shen, D., Timko, M., & Walden, D. (1993). Kano's methods for understanding customer-defined quality. Center for Quality of Management Journal, 2(4), 3–36.
  7. Bothe, D. R. (1997). Measuring process capability: Techniques and calculations for quality and manufacturing engineers. New York, NY: McGraw-Hill.
  8. Clark, K. B., & Fujimoto, T. (1991). Product development performance: Strategy, organization, and management in the world auto industry. Boston, MA: Harvard Business School Press.
  9. Clausing, D. P. (1994). Total quality development: A step-by-step guide to world class concurrent engineering. New York, NY: ASME Press.
  10. Cooper, R. G. (2011). Winning at new products: Creating value through innovation. New York, NY: Basic ...
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Publisher Resources

ISBN: 9781118796306Purchase book