TR217: Enhancing Pre-Construction Decision-Making on Sustainable Commercial Building Projects
Abstract/Contents
- Abstract
- With improvements in computer modeling that allow AEC professionals to rapidly simulate trillions of design and construction alternatives, decision-makers need a way to efficiently and effectively interpret and explore the vast design space while building team and organizational consensus around a solution. Multi-attribute decision-making (MADM) and data visualization methods play an important role in successfully achieving these goals. However, while the prescriptive benefits of these methods are widely acknowledged, the precise impact that they have on design team performance and project quality has not been fully described This paper presents the descriptive findings from four early-stage building design charrettes that implemented normative data visualization and MADM techniques. Key metrics considered are normalized solution quality, level of design exploration, and consensus among multiple decision-makers. Empirically, the results show that MADM is associated with higher rates of group consensus, and that a combination of MADM and visual aids generates the greatest improvement in solution quality over time.
Description
| Type of resource | text |
|---|---|
| Date created | October 2014 |
Creators/Contributors
| Author | Abraham, Kelcie | |
|---|---|---|
| Author | Flager, Forest | |
| Author | Macedo, Jorge | |
| Author | Gerber, David | |
| Author | Lepech, Michael |
Subjects
| Subject | CIFE |
|---|---|
| Subject | Center for Integrated Facility Engineering |
| Subject | Stanford University |
| Subject | consensus building |
| Subject | data visualization |
| Subject | design decision support |
| Subject | Multi-attibute decision-making |
| Subject | simple additive weighting |
| Genre | Technical report |
Bibliographic information
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- 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
- Abraham, Kelcie and Flager, Forest and Macedo, Jorge and Gerber, David and Lepech, Michael. (2014). TR217: Enhancing Pre-Construction Decision-Making on Sustainable Commercial Building Projects. Stanford Digital Repository. Available at: http://purl.stanford.edu/qn758pg5219
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CIFE Publications
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- cife-email@stanford.edu
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