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Selection of Optimal UAS Using Task Requirements and Platform Parameters to Optimize Operational Performance
Industrial and Systems Engineering Research Conference (2016)
  • Dennis Vincenzi, Embry-Riddle Aeronautical University
  • Brent Terwilliger, Embry-Riddle Aeronautical University
  • David Ison, Embry-Riddle Aeronautical University
  • Stefan Kleinke, Embry-Riddle Aeronautical University
  • Dahai Liu, Embry-Riddle Aeronautical University
Literature on modeling and simulation (M&S) of unmanned aircraft systems (UAS) for the purpose of selecting the correct platform for specific applications has been limited.  Most platforms are selected based on availability or popularity rather than systematically matching requirements and needs with system parameters and capabilities.  Matching requirements with system capabilities makes sense from a business perspective because such organizations want tasking accomplished with efficiency, accuracy, minimal cost, and on schedule.  For the past two years, the research team at Embry-Riddle Aeronautical University has been collecting data and specifications on available commercial-off-the-shelf (COTS) group 1 – 3 fixed wing and vertical take off and landing (VTOL) UAS (U.S. Army UAS Center of Excellence, 2010), available in domestic and international markets.  A database of 500 UAS has been compiled for use in modeling and simulation of various platforms for select applications.  The applications examined to date using M&S include 1) Airport Rescue and Fire Fighting (ARFF), 2) remote sensing perimeter flight, and 3) aerial communications relay.  Results indicate that selection of optimal UAS offered significant savings in terms of time, cost, and efficiency of operations.  Implications for future selection and use for the specific applications are discussed. 
  • unmanned aircraft systems,
  • operational performance,
  • task analysis
Publication Date
May 24, 2016
Anaheim, CA
Abstract ID: 807.
Citation Information
Dennis Vincenzi, Brent Terwilliger, David Ison, Stefan Kleinke, et al.. "Selection of Optimal UAS Using Task Requirements and Platform Parameters to Optimize Operational Performance" Industrial and Systems Engineering Research Conference (2016)
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