Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

摘要: Many systems undergo significant architecture-level change throughout their lifecycles in order to adapt new operating and funding contexts, react failed technology development, or incorporate technologies. In all cases early architecture selection investment decisions will constrain the system certain regions of tradespace, which can limit evolvability its robustness exogenous changes. this paper we present a method for charting development pathways within tradespace potential architectures, with view enabling portfolio realization later architectural The is first transformed into weighted, directed graph nodes connectivity determined by relationships between portfolios functional architecture. exploration problem then restated as shortest path through graph. This applied in-space transportation architectures missions Mars, finding that knowledge identify negative coupling particular technologies, well ways prioritize future investments.