A Visual Analytics Framework for Strategic Airlift Decision Making


Autoria(s): Soban, Danielle; Salmon, John; Fahringer, Phil
Data(s)

01/04/2013

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/a-visual-analytics-framework-for-strategic-airlift-decision-making(8079c63b-4b8e-42f6-9a15-4c36c4b911eb).html

http://dx.doi.org/10.1177/1548512911428987

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Soban , D , Salmon , J & Fahringer , P 2013 , ' A Visual Analytics Framework for Strategic Airlift Decision Making ' The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology , vol 10 , no. 2 , pp. 131-144 . DOI: 10.1177/1548512911428987

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/2200/2201 #Engineering (miscellaneous) #/dk/atira/pure/subjectarea/asjc/2600/2611 #Modelling and Simulation
Tipo

article