Using Agent-Based Distillations to Explore Logistics Support to Urban, Humanitarian Assistance/Disaster Relief Operations

Abstract

There are two motivations for studying Humanitarian Assistance/Disaster Relief (HA/DR) operations. First, the Marine Corps will be a first-responder in the future. Second, logistics support takes on a primary role. This thesis identifies the potential for using agent-based models to support logistical decision-making in an urban, HA/DR environment. We develop a simulation using Map Aware Non-uniform Automata (MANA). Our scenario depicts a relief convoy with security attachment, operating on urban terrain. The convoy moves to an HA/DR site where they distribute food to neutrals (locals) who have made their way to that site.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA418300

Entities

People

  • Eric T. Wolf

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Computational Science
  • Data Analysis
  • Data Science
  • Department Of State
  • Disaster Management
  • Disasters
  • Experimental Design
  • First Responders
  • Humanitarian Assistance
  • Information Science
  • Logistics
  • Logistics Support
  • Military Science
  • Statistics
  • War Colleges
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Maritime Combat Support and Expeditionary Logistics.
  • Military and Counterinsurgency Studies.