Date of Award

3-1993

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

Edward F. Mykytka, PhD

Abstract

Strategic aeromedical evacuation (AE) of casualties from the theater of operations to the CONUS during wartime is a complex operation that involves the integration of medical personnel and policies with airlift concepts and capabilities. Military analysts within the Air Mobility Command Analysis Group (AMC/XPY) have traditionally used deterministic linear programming techniques to estimate the number of aircraft the United States Air Force (USAF) requires for given contingency scenarios. However, this group has yet to develop a stochastic approach to validate their resource recommendations, and more importantly, to study the interrelationships between key factors comprising strategic aeromedical evacuation. As the possibility for many smaller campaigns around the world increases, USAF medical planners require a flexible, analytical tool which captures the major elements of this important mission in order to quickly evaluate differing medical airlift plans and policies. This thesis develops, documents, and demonstrates the use of a computer simulation model for strategic AE operations that is modular in nature, completely data driven, and quickly adaptable to scenario changes, as a policy/planning aid for the AMC Surgeon and his staff. In addition, this thesis investigates the use of two statistical techniques, principal component analysis and factor analysis, for interpretation of the simulation output.

AFIT Designator

AFIT-GOR-ENS-93M-26

DTIC Accession Number

ADA262551

Comments

The author's Vita page is omitted.

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