TR203: Teaching Design Optioneering: A Method for Multidisciplinary Design Optimization
Abstract/Contents
- Abstract
- This paper describes a Design Optioneering methodology that is intended to offer multidisciplinary design teams the potential to systematically explore a large number of design options much more rapidly than currently possible using conventional methods. Design Optioneering involves first defining a range of design options using associative parametric design tools; then coupling this model with integrated simulation-based analysis; and, finally, using computational design optimization methods to systematically search though the defined range of alternatives in search of design options that best achieve the problem objectives while satisfying any constraints. The Design Optioneering method was tested by students as part of a parametric design course at Stanford University in the spring of 2010. The performance of the method are discussed in terms of the student’s ability to capture the design intent using parametric modeling, integrate expert analysis domains, and select a preferred option among a large number of alternatives. Finally, the potential of Design Optioneering to reduce latency, further domain integration, and enable the evaluation of more design alternatives in practice is discussed.
Description
| Type of resource | text |
|---|---|
| Date created | June 2011 |
Creators/Contributors
| Author | Gerber, David |
|---|---|
| Author | Flager, Forest |
Subjects
| Subject | CIFE |
|---|---|
| Subject | Center for Integrated Facility Engineering |
| Subject | Stanford University |
| Subject | 3-D |
| Subject | Coordination |
| Subject | Optimization |
| Subject | parametric design |
| Subject | Process Models |
| Subject | Product Models |
| Subject | Simulation |
| Subject | Virtual Design and Construction |
| Genre | Technical report |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Gerber, David and Flager, Forest. (2011). TR203: Teaching Design Optioneering: A Method for Multidisciplinary Design Optimization. Stanford Digital Repository. Available at: http://purl.stanford.edu/rc451fq0133
Collection
CIFE Publications
Contact information
- Contact
- dgerber@usc.edu
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