For Air Operations Centers, there is a need to provide Commanders and their staff with real-time, up-to-the-second
information regarding Red-Force, Blue-Force, and neutral force status and positioning. These updates of the real-time
picture provide Command Staff with dynamic situational awareness of their operations while considering current and
future Courses of Action (COAs). A key shortfall in current capability is that intelligence, surveillance, and
reconnaissance (ISR) sensors, electronic intelligence, and human intelligence only provide a snapshot of the operational
world from "observable" inputs. While useful, this information only provides a subset of the entire real-time picture. To
provide this "missing" information, techniques are required to estimate the state of Red, Blue, and neutral force assets
and resources. One such technique for providing this "state" information is to utilize operationally focused simulation to
estimate the unobservable data. RAM Laboratories and the Air Force Research Laboratory's Information Systems
Research Branch are developing a Dynamic Situation Assessment and Prediction (DSAP) Software Framework that, in
part, utilizes embedded real-time simulation in this manner.
This paper examines enhancements made to the DSAP infrastructure's Multiple Replication Framework (MRF) and
reviews extensions made to provide estimated state information via calibrated real-time simulation. This paper also
provides an overview of the Effectiveness Metrics that can be used to evaluate plan effectiveness with respect to the realtime
inputs, simulated plan, and user objectives.