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12 May 2016 Decision support for simulation-based operation planning
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In this paper, we develop methods for analyzing large amounts of data from a military ground combat simulation system. Through a series of processes, we focus the big data set on situations that correspond to important questions and show advantageous outcomes. The result is a decision support methodology that provides commanders with results that answer specific questions of interest, such as what the consequences for the Blue side are in various Red scenarios or what a particular Blue force can withstand. This approach is a step toward taking the traditional data farming methodology from its analytical view into a prescriptive operation planning context and a decision making mode.
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Johan Schubert and Pontus Hörling "Decision support for simulation-based operation planning", Proc. SPIE 9848, Modeling and Simulation for Defense Systems and Applications XI, 984805 (12 May 2016);

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