Design of experiment analysis for the Joint Dynamic Allocation of Fires and Sensors (JDAFS) simulation
Freye, Jeffrey T.
Lucas, Thomas W.
Ahner, Darryl K.
MetadataShow full item record
The U.S. Army Training and Doctrine Command (TRADOC) Analysis Center's Joint Dynamic Allocation of Fires and Sensors (JDAFS) model, a low-resolution, Discrete Event Simulation Model with embedded optimization enables the analysis of many scenarios and factors to explore Joint Intelligence, Surveillance, and Reconnaissance (ISR) missions. JDAFS is a powerful model that combines both discrete event simulation and the optimization of a linear objective function to generate realistic, reasonable, and consistent solutions to difficult ISR scheduling problems. Given a scenario and a mix of ISR platforms, JDAFS optimizes a flight schedule and executes the missions. This research develops a Joint ISR scenario, explores scenario simulation results, and provides a proof-of-principle analysis that aids in the ISR decision making process. This study examines 274 design points in each of two scenarios, a non-penetrating scenario that allows only standoff collection and a penetrating scenario that allows country of interest overflight. The use of an efficient design of experiment methodology enables the exploration of the interior and exterior of the response surface for the two experimental scenarios. Analysis of the simulation output suggests that the optimization interval significantly impacts total coverage. In the nonpenetrating scenario, shorter optimization intervals ensure better coverage; however, in the penetrating scenario, longer optimization intervals provide for improved coverage. The disparity is explained by reduced likelihood of assignment saturation in the penetrating scenario due to the increased number of mission areas. Sensor range, sensor package configuration, and platform dwell time also affect the level of coverage. This is clearly demonstrated by the superior coverage provided by the most capable ISR platforms.
Showing items related by title, author, creator and subject.
Analysis of the assignment scheduling capability for Unmanned Aerial Vehicles (ASC-U) simulation tool Nannini, Christopher J. (Monterey, California. Naval Postgraduate School, 2006-06);The U.S. Army Training and Doctrine Command (TRADOC) Analysis Center (TRAC) and the Modeling, Virtual Environments, and Simulations Institute (MOVES) at the Naval Postgraduate School, Monterey, California developed the ...
An alternative optimization model and robust experimental design for the Assignment Scheduling Capability for the Unmanned Aerial Vehicles (ASC-U) simulation Oliver, Derek M. (Monterey, California. Naval Postgraduate School, 2007-06);The Modeling, Virtual Environments, and Simulations Institute (MOVES) and the United States Army Training and Doctrine Command (TRADOC) Analysis Center (TRAC) at the Naval Postgraduate School, Monterey, California, ...
Hybrid architectural framework for C4ISR and Discrete-Event Simulation (DES) to support sensor-driven model synthesis in real-world scenarios Chen, You-Quan (Monterey California. Naval Postgraduate School, 2013-09);While the application of a time-step approach in modeling C4ISR in Missile Defense Warfare (MDW) suffers inaccurate time estimation and relative slow speed, Discrete Event Simulation (DES) can elegantly satisfy these ...