Allocation and Routing of CRAF MD80 Aircraft

Abstract

The purpose of this Thesis was to provide information for a plan of operations for the future Aeromedical Evacuation System. This future system will use Civil Reserve Air Fleet Boeing 767 and McDonnell-Douglas MD80 aircraft to evacuate injured personnel from the area of conflict to the continental United States. The study had three basic objectives dealing with the stateside distribution of patients by MD80 aircraft: 1) Allocation of the MD80s among the nine stateside hubs; 2) Average worst-case routing of MD80s to depict the most likely routes; and 3) Investigate the 2- and 3-dimensional spacefilling curves as useful real time routing tools for such an operation. Allocation was handled using a spreadsheet application to evenly distribute the six different categories of patients among the 52 National Disaster Medical System coordination centers. A simulation network was developed to determine each hospital's ability to handle the allotted patients. The distribution of MD80s was then determined using the average daily number of patients needing transportation to locations other than the hubs themselves. It was determined that the limiting number of 30 MD80s would not constrain the transportation network. In the worst scenario, only 27 MD80s were required.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA220182

Entities

People

  • William B. Carter

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Aeromedical Evacuation
  • Air Force
  • Air Transportation
  • Aircrafts
  • Airlift Operations
  • Algorithms
  • Burns
  • Computer Programming
  • Expert Systems
  • Flow Network
  • Heuristic Methods
  • Linear Programming
  • Operations Research
  • Three Dimensional
  • Transport Aircraft
  • Two Dimensional
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Operations Research
  • Trauma or Military Medicine