Operational Analysis of the Sustainability of a Mobile Military Platform.

Abstract

This thesis illustrates the use of simulation techniques to evaluate the satisfaction of suitability requirements for a mobile platform carrying payload (for example, an Unmanned Aerial Vehicle with sensors) on a military mission (surveillance or reconnaissance). The Institute for Defense Analyses, in support of Director, Operational Test & Evaluation (DOT&E), recently developed a simulation to assist in the analysis of the PREDATOR Unmanned Aerial Vehicle. That simulation has been extended to make it more applicable to a variety of platforms, and the extended simulation has been incorporated into the Military Aircraft Sustainability Simulation (MASS). The primary output from the simulation is Effective Time On Station (ETOS). ETOS is the long-run percentage of time that the region under surveillance is being covered by at least one operating platform. An analytical model for a single platform also has been developed to augment and assist in verifying the MASS. This thesis shows that MASS can be an invaluable tool for evaluating a platform's suitability for a mission. The Simulation can assist during the acquisition process, when the government must decide whether to buy a platform, and the simulation can assist in determining the most effective way to deploy such platforms once they are in use.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA354297

Entities

People

  • James G. Stoneman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Aircrafts
  • Airframes
  • Computer Programs
  • Deployment
  • Failure Mode And Effect Analysis
  • Governments
  • Logistics
  • Maintenance
  • Maintenance Personnel
  • Military Aircraft
  • Operations Research
  • Simulations
  • Test And Evaluation
  • United States Naval Academy
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.

Technology Areas

  • Autonomy
  • Autonomy - UAVs