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Proceedings Paper

Decision support for simulation-based operation planning
Author(s): Johan Schubert; Pontus Hörling
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Paper Abstract

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.

Paper Details

Date Published: 12 May 2016
PDF: 20 pages
Proc. SPIE 9848, Modeling and Simulation for Defense Systems and Applications XI, 984805 (12 May 2016); doi: 10.1117/12.2222172
Show Author Affiliations
Johan Schubert, Swedish Defence Research Agency (Sweden)
Pontus Hörling, Swedish Defence Research Agency (Sweden)

Published in SPIE Proceedings Vol. 9848:
Modeling and Simulation for Defense Systems and Applications XI
Susan Harkrider; Aaron L. Paolini, Editor(s)

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