MMAE 714, Robust Design
This course is currently scheduled for October 4, 6, 11 and 13, 2001, on the Main Campus at IIT. If sufficient interest exists, it can also be offered at the Rice Campus, or on-site at a company. It is also available in a not-for-credit version for those more interested in the information provided than in pursuing a degree. If you are interested, give me a call at 312.567.5813 or an email.
Description:
This course covers modern methods of design (of both products and production processes) that optimize quality and reliability and minimize sensitivity to variation. Topics include Analysis of Variance (ANOVA), Design of Experiments (DOE), Taguchi design methods, and analytical robust design. Class includes hands-on team exercises in design optimization for a simple catapult mechanism.
Prerequisites:
Engineering or other technical undergraduate degree or equivalent.
Outline:
Day One:
· What is Robustness?
· Cause and Effect Diagrams
· Quality Function Deployment
· Failure Mode and Effect Analysis
· Fault Tree Analysis
· in-class project, Phase I
Day Two:
· The F-test
· Analysis of Variance (ANOVA)
· Classical Design of Experiments
· Full Factorial and Fractional Factorial DOEs
· in-class project, Phase II
Day Three:
· Taguchi Methods
· Loss Function
· Control Factors and Noise Factors
· The Engineered System
· Signal/Noise Ratio
· in-class project, Phase III
Day Four:
· Taguchi, continued
· Two-Step Optimization Process
· Analysis
· Case Studies
· in-class project, Phase
For Further Information:
contact John Cesarone, cesarone@iit.edu, 312.567.5813.
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