Engineering Design: A Decision-Based Perspective - ME54100
Engineering design as a decision-making process; Multi-criteria decision making in design under uncertainty; Group decision making in design processes; Sequential decision making; Model-based and data-driven decision making; Heuristics and biases in design decision making. Applications to engineering design including estimation of customer preferences, simulation-based design, and sustainable design.
Learning Objective:
- Formulate engineering design decisions under uncertainty.
- Apply multi-attribute utility theory to make decisions in engineering design.
- Evaluate the assumptions and limitations of commonly used decision-making methods in design.
- Identify heuristics and biases in design decision making.
- Adopt an interdisciplinary approach to engineering design and systems engineering.
Topics Covered:
- Course overview
- Engineering design and systems engineering through the lens of decision making
- Framing a decision situation
- Decisions under certainty
- Probability Theory: An Overview
- Single Attribute Utility Theory
- Multi-attribute Utility Theory with examples in engineering design and manufacturing
- Value of Information
- Sequential Decision Making
- Rationality
- Cumulative Prospect Theory
- Decision Field Theory
- Preferences over Time
- Estimating Customer Preferences
- Estimating Customer Preferences
- Group Decision Making
Applied / Theory:
50 / 50
Homework:
Homework assigned every two weeks
Projects:
The students will apply the concepts learned in this course to real-world problems, which may be related to their job.
Exams:
No Exams
Textbooks:
No textbook. Reading material will be provided