The System Design Optimization (SDO) Laboratory conducts cutting-edge research into the maximization of product/system value. Our research answers questions about optimal product variety and optimal system architecture by modeling market-driven environments and considering uncertain and/or conflicting future requirements. We apply principles of design thinking and recognize that design is inherently a decision-making process. The tools/methods that we develop advance engineering design automation and design theory. Our research products help engineers navigate the interdisciplinary challenges associated with designing consumer products and complex engineered systems.
Why is this research important?
Design is a fundamental approach for solving complex problems. Engineering design requires the incorporation of interdisciplinary perspectives, creating solutions by synthesizing various components, dealing with uncertainty, and considering the unintended consequences of design decisions. When maximizing the value of an engineered product/system, engineers must constantly balance tradeoffs. These tradeoffs occur across the entire lifecycle, often arising from human, technological, organizational, and political factors that define the criteria under which the system operates. Our research is motivated by the fact that even the most basic engineering design decision requires a value analysis. Fundamental questions driving our work include:
- What information do product engineers need for making value-driven design decisions in a market-systems context?
- How we we maximize the user experience with the product/system?
- What is the right mix of products that should be offered?
- What is the relationship between system configuration/architecture and needs and preferences that change over time?
- How do we effectively manage change after a product/system has been fielded?
What tools do we use?
To address these challenges, we draw upon research advances in design automation, multiobjective / multidisciplinary optimization, customer preference modeling techniques (such as conjoint analysis and discrete choice theory), data analytics (including AI/ML), product customization, requirements definition, system architecture modeling, and change propagation techniques.
Currently, the lab pursues four primary research directions:
- Preference/demand modeling, product platforming, and product customization/personalization
- Designing complex engineered systems capable of reconfigurability, evolvability and resilience
- Inverse engineering design using machine learning and AI
- Advancing engineering design education
Who has sponsored our research?
Who we are
The System Design Optimization Laboratory was founded by Dr. Scott Ferguson in 2008 when he arrived at NC State. Members of our lab work as a team, and we work to foster a collaborative, productive research environment. Where possible, Dr. Ferguson works with his students to identify research projects that fit within the lab vision and match their interest and passion.
Opportunities for new students
The SDO lab is always interested in finding motivated, ambitious PhD students who are interested in conducting research in the area of engineering design theory and design automation. Please contact Dr. Ferguson for further inquiries.