Development of a Decision Support System for the Department of Energy's Selection of Waste Site Remediation Technologies.
Abstract
The Department of Energy is faced with the complex decision of selecting technologies for waste site remediation. This research focused on developing a decision support system to aid the decision maker in selecting the best strategy of remediation technologies. Specifically, the research outlined the use of multiple attribute utility theory using exponential attribute utility functions with a simple additive objective function. A decision analysis model was developed which incorporates life-cycle cost data, risk information, and user input, to analyze the technology choices. The best available data was used to demonstrate the capabilities of the model. The model provides the decision maker with information on utility, cost, and time. Cumulative and frequency distributions illustrate the dominance of technology choices and the variance in the results. Cost and time plots allow the decision maker to see the trade-offs inherent in the utility functions. The model also allows for sensitivity analysis in the form of rainbow and tornado diagrams to display the affects of changes in the values of the input variables. Overall, the model provides a generic tool that can be used to make better decisions and can be easily manipulated to reflect changes in the remediation process.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1996
- Accession Number
- ADA311013
Entities
People
- Brian E. Ralston
- Jack A. Jackson
- Jack M. Kloeber Jr.
- Richard F. Deckro
Organizations
- Air Force Institute of Technology