Strategic Location and Dispatch Management of Assets in a Military Medical Evacuation Enterprise

Abstract

This dissertation considers the importance of optimizing deployed military medical evacuation (MEDEVAC) systems and utilizes operations research techniques to develop models that allow military medical planners to analyze different strategies regarding the management of MEDEVAC assets in a deployed environment. For optimization models relating to selected subproblems of the MEDEVAC enterprise, the work herein leverages integer programming, multi-objective optimization, Markov decision processes, approximate dynamic programming, and machine learning, as appropriate, to identify relevant insights for aerial MEDEVAC operations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 13, 2019
Accession Number
AD1079716

Entities

People

  • Phillip R. Jenkins

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Combat Casualty Care
  • Computational Science
  • Contingency Operations (Military)
  • Department Of Defense
  • Health Services
  • Mathematical Programming
  • Medical Evacuation
  • Medical Personnel
  • Military Medicine
  • Military Science
  • Multiobjective Optimization
  • Operations Research
  • Systems Engineering
  • Therapy
  • United States Central Command
  • Warfare

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Medical or Health Care Field.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms