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

Abstract

Our research is focused upon new methods to support decision-making on acquisitions in a 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 between 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.