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Proceedings Paper

An agile acquisition decision-support workbench for evaluating ISR effectiveness
Author(s): Daniel W. Stouch; Valerie Champagne; Christopher Mow; Brad Rosenberg; Joshua Serrin
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Paper Abstract

The U.S. Air Force is consistently evolving to support current and future operations through the planning and execution of intelligence, surveillance and reconnaissance (ISR) missions. However, it is a challenge to maintain a precise awareness of current and emerging ISR capabilities to properly prepare for future conflicts. We present a decisionsupport tool for acquisition managers to empirically compare ISR capabilities and approaches to employing them, thereby enabling the DoD to acquire ISR platforms and sensors that provide the greatest return on investment. We have developed an analysis environment to perform modeling and simulation-based experiments to objectively compare alternatives. First, the analyst specifies an operational scenario for an area of operations by providing terrain and threat information; a set of nominated collections; sensor and platform capabilities; and processing, exploitation, and dissemination (PED) capacities. Next, the analyst selects and configures ISR collection strategies to generate collection plans. The analyst then defines customizable measures of effectiveness or performance to compute during the experiment. Finally, the analyst empirically compares the efficacy of each solution and generates concise reports to document their conclusions, providing traceable evidence for acquisition decisions. Our capability demonstrates the utility of using a workbench environment for analysts to design and run experiments. Crafting impartial metrics enables the acquisition manager to focus on evaluating solutions based on specific military needs. Finally, the metric and collection plan visualizations provide an intuitive understanding of the suitability of particular solutions. This facilitates a more agile acquisition strategy that handles rapidly changing technology in response to current military needs.

Paper Details

Date Published: 20 May 2011
PDF: 14 pages
Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 80600A (20 May 2011); doi: 10.1117/12.883423
Show Author Affiliations
Daniel W. Stouch, Charles River Analytics, Inc. (United States)
Valerie Champagne, PatchPlus Consulting (United States)
Christopher Mow, Charles River Analytics, Inc. (United States)
Brad Rosenberg, Charles River Analytics, Inc. (United States)
Joshua Serrin, Charles River Analytics, Inc. (United States)

Published in SPIE Proceedings Vol. 8060:
Modeling and Simulation for Defense Systems and Applications VI
Eric J. Kelmelis, Editor(s)

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