Abstract
One of the most significant challenges in conceptual design is managing the tradespace of potential architectures: choosing which design to pursue aggressively, which to keep on the table, and which to leave behind. The application is presented of a framework for managing a tradespace of architectures not through traditional effectiveness measures such as cost and performance, but instead through a quantitative analysis of the embedded uncertainty in each potential space system architecture. Cost and performance in this approach remain central themes in decision making, but uncertainty serves as the focal lens to identify potentially powerful combinations of architectures to explore concurrently in further design phases.
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