Basing the US Air Force Special Operations Forces.

Abstract

The A.F. Special Operations Forces (AFSOF) are currently overtasked. The only existing Hq MAC AFSOF model is limited by the assumption that all AFSOF assets are colocated. This research was directed toward removing this limitation so the model could address basing questions. The model was modified to include geographical locations rather than just distances. The target data base was modified and a basing data base was added. The model was then demonstrated using a representative scenario and representative data. The study involved three basing options to be compared for mission accomplishment. Options were compared for total successful missions, and were also broken down by mission type; average mission delay by mission type; and how well they implemented the desired regional priority scheme. The uses and limitations of the model as well as potential areas of improvement were discussed. A major limitation of the model is its restriction to use for long range planning. A deterministic model that could provide a short time response was considered. It appeared feasible to use location/allocation methods. Such a model could be used in a decision support system to provide real time help in basing the AFSOF. Keywords: Programming manuals; Scenarios; Rescues; Deployment; Air Force strategy. (Theses)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA179422

Entities

People

  • Mark E. Kraus

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Attrition
  • Computer Programming
  • Databases
  • Decision Support Systems
  • Deployment
  • Heuristic Methods
  • Linear Programming
  • Maintenance
  • Probability Distributions
  • Regions
  • Security
  • Special Operations Forces
  • Tanker Aircraft
  • Vertical Takeoff Aircraft

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation