WP119: Quantitative Method for Analyzing Engineering Defect Risks in Novel Projects
Abstract/Contents
- Abstract
- This paper describes an initial application of Multi-Attribute Collective Decision Analysis for a Design Initiative (MACDADI) on the feasibility study of a mixed-use facility. First, observations of the difficulties the design team experienced communicating their goals, preferences, options, and analyses are presented. Next, the paper describes a formal intervention by the authors, integrating survey, interview, and analytic methods. The project team collected, synthesized, and hierarchically organized their goals; stakeholdersí established their relative preferences with respect to these goals; the design team formally rated the design options with respect to the goals; the project team then visualized and assessed the goals, options, preferences, and analyses to assist in a transparent and formal decision making process. A discussion of some of the strengths and weaknesses of the MACDADI process is presented and opportunities for future improvement are identified.
Description
| Type of resource | text |
|---|---|
| Date created | April 2009 |
Creators/Contributors
| Author | Chachere, John |
|---|
Subjects
| Subject | CIFE |
|---|---|
| Subject | Center for Integrated Facility Engineering |
| Subject | Stanford University |
| Subject | MACDADI |
| 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
- Chachere, John. (2009). WP119: Quantitative Method for Analyzing Engineering Defect Risks in Novel Projects. Stanford Digital Repository. Available at: http://purl.stanford.edu/qh238bh8552
Collection
CIFE Publications
Contact information
- Contact
- cife-email@stanford.edu
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