Wartime CONUS (Continental United States) Casualty Distribution System Using Dedicated Craf Airlift.

Abstract

The objective of this thesis was to test the feasibility of using Civil Reserve Air Fleet (CRAF) aircraft and C-9 aircraft to deliver wartime casualties to CONUS hospitals. The method of distributing the patients was by a HUB-and-spoke-type system. The distribution system was analyzed under a scenario which represented an intense European conventional war. Casualty inputs into the distribution system were estimated to be approximately 1000 patients per day. The casualty distribution system was modeled using SLAM simulation and FORTRAN computer code. Factors of interest to the Military Airlift Command (MAC) were varied to determine the number of CRAF necessary and the capacity of these CRAF aircraft. In addition, trend analysis of C-9 requirements was accomplished. Results of the simulation analysis indicate that the system developed appears feasible. However, the number of C-9 aircraft necessary to adequately operate the system is in excess of current Air Force CONUS capabilities. The model has additional flexibility. By changing input variables and distribution parameters to fit new environments, the analyst can model different scenarios and types of aircraft. Analysis of hospital beds and their impact on the patient distribution system can also be accomplished. Keywords: Air transportation; Aeromedical evacuation; Transport aircraft; Simulation language; Commercial aircraft.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1985
Accession Number
ADA156076

Entities

People

  • J. C. O'neill
  • J. P. Alfano

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aeromedical Evacuation
  • Air Force
  • Air Transportation
  • Airlift Operations
  • Cargo Aircraft
  • Commercial Aircraft
  • Computer Programming
  • Computer Programs
  • Databases
  • Health Services
  • Medical Evacuation
  • Medical Personnel
  • Network Science
  • Operations Research
  • Statistical Distributions
  • Therapy
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Medical or Health Care Field.