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This course was created for the “product development” track of MIT’s System
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Description
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 content
- 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
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Instructor
Massachusetts Institute of Technology
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