This course was created for the “product development” track of MIT’s System
Design and Management Program (SDM) in conjunction with the Center for Innovation in Product Development. After taking this course, a student should be able to:
- Formulate measures of performance of a system or quality characteristics. These quality characteristics are to be made robust to noise affecting the system.
- Sythesize and select design concepts for robustness.
- Identify noise factors whose variation may affect the quality characteristics.
- Estimate the robustness of any given design (experimentally and analytically).
- Formulate and implement methods to reduce the effects of noise (parameter design, active control, adjustment).
- Select rational tolerances for a design.
- Explain the role of robust design techniques within the wider context of the product development process.
- Lead product development activities that include robust design techniques.
- Course Introduction: Probability, Statistics and Quality Loss Unlimited
- Context of Robust Design Unlimited
- Matrix Experiments Unlimited
- Performance Characterization Unlimited
- Control and Noise Factors Unlimited
- Analysis of Variance: ANOVA Unlimited
- Constructing Orthogonal Arrays Unlimited
- Robust Design Using Simulations Unlimited
- Design of Dynamic Systems Unlimited
- Reliability Improvement Unlimited
- Review for Final Exam Unlimited
- Tolerance Design Unlimited
- Mahalanobis Taguchi System Unlimited
- Robust Conceptual Design Unlimited
About the instructor