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Disaster Response Modeling Through Discrete-Event SimulationOrganizations today are required to plan against a rapidly changing, high-cost environment. This is especially true for first responders to disasters and other incidents, where critical decisions must be made in a timely manner to save lives and resources. Discrete-event simulations enable organizations to make better decisions by visualizing complex processes and the impact of proposed changes before they are implemented. A discrete-event simulation using Simio software has been developed to effectively analyze and quantify the imagery capabilities of domestic aviation resources conducting relief missions. This approach has helped synthesize large amounts of data to better visualize process flows, manage resources, and pinpoint capability gaps and shortfalls in disaster response scenarios. Simulation outputs and results have supported decision makers in the understanding of high risk locations, key resource placement, and the effectiveness of proposed improvements.
Document ID
20130008654
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Wang, Jeffrey
(Booz-Allen and Hamilton Inc. United States)
Gilmer, Graham
(Booz-Allen and Hamilton Inc. United States)
Date Acquired
August 27, 2013
Publication Date
March 1, 2012
Publication Information
Publication: Selected Papers Presented at MODSIM World 2011 Conference and Expo
Subject Category
Systems Analysis And Operations Research
Distribution Limits
Public
Copyright
Public Use Permitted.
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