SBIR/STTR Research Award
Decision Support Tools for Capability-based Systems Engineering
Award amount
$69,773Program and phase
SBIR · Phase IAward year
2003Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- GABELLO ENGINEERING
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- V6LEDK1HGFQ8
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
Capability-based systems acquisition depends upon a realistic assessment of the political, military, economic, and technical risks to guide evolutionary product development. Accurate risk assessment will permit managers to optimize their procurementdecisions and identify remedial actions in order to mitigate the risk for each block update of system capabilities. A decision-support tool based on Bayes Theorem will provide the best mechanism to accurately assess risk. Bayes Theorem will permitcontinual updating of a project's risk estimates using both historical and current contextual information about the multi-dimensional risk environment. Today's commercial and governmental managers strive to minimize the adverse effects of risk, commonlyin an environment of multi-dimensional risk. Managers utilizing the Bayesian decision-support tool will maximize their return on investment by minimizing the adverse effects of excessively risky decisions and guiding product design and development at allstages of the acquisition process. Managers utilizing the Bayesian decision-support tool will maximize their return on investment by minimizing the adverse effects of excessively risky decisions and guiding product design and development at all stagesof the acquisition process.
Technology keywords
Not reported