Acquisition Management for System of Systems: Requirement Evolution and Acquisition Strategy Planning.

摘要

Our research is focused upon new methods to support decision making for the acquisition of system of systems (SoS). We have improved upon prior work by introducing both an extension to the previously developed Computational Exploratory Model (CEM) and a decision-analysis framework that addresses issues of identifying optimal collections of interconnected systems. An Agent-Based Model (ABM) approach extends prior CEM capabilities by enabling the development of a simulation to model interdependencies among constituent systems in a SoS. A robust investment portfolio framework complements the approach by providing a means to objectively balance expected performance, cost, and risks in identifying optimal collections of systems that constitute a SoS.