SBIR/STTR Research Award

Decision Support Tools for Capability-based Systems Engineering

Award identifier 8345740d5c91a1a5011f656f919209976eea448e05f93d1aaad58a25122082d0Awarding agency Department of Defense · Missile Defense Agency

Award amount

$69,773

Program and phase

SBIR · Phase I

Award year

2003

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Award 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

Agency intelligence

Department of Defense

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