A Visual Analytics Framework for Strategic Airlift Decision Making

Danielle Soban, John Salmon, Phil Fahringer

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The foundational concept of Network Enabled Capability relies on effective, timely information sharing. This information is used in analysis, trade and scenario studies, and ultimately decision-making. In this paper, the concept of visual analytics is explored as an enabler to facilitate rapid, defensible, and superior decision-making. By coupling analytical reasoning with the exceptional human capability to rapidly internalize and understand visual data, visual analytics allows individual and collaborative decision-making to occur in the face of vast and disparate data, time pressures, and uncertainty. An example visual analytics framework is presented in the form of a decision-making environment centered on the Lockheed C-5A and C-5M aircraft. This environment allows rapid trade studies to be conducted on design, logistics, and capability within the aircraft?s operational roles. Through this example, the use of a visual analytics decision-making environment within a military environment is demonstrated.
Original languageEnglish
Pages (from-to)131-144
Number of pages9
JournalThe Journal of Defense Modeling and Simulation: Applications, Methodology, Technology
Volume10
Issue number2
Early online date08 Dec 2011
DOIs
Publication statusPublished - Apr 2013

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Modelling and Simulation

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