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Uncertainty in Humanitarian Logistics for Disaster Management. A Review

  • F. Liberatore
  • C. Pizarro
  • C. Simón de Blas
  • M. T. Ortuño
  • B. Vitoriano
Chapter
Part of the Atlantis Computational Intelligence Systems book series (ATLANTISCIS, volume 7)

Abstract

 Given their nature, disasters are generally characterized by a high level of uncertainty. In fact, both their occurrence and their consequences are not easily anticipated. Thus, NGOs and civil protection often have to take decisions and plan for their operations without having the possibility of relying on exact or complete information on the magnitude of the disaster. Over the years, a number of works and methodologies that address uncertainty in Disaster Management have been presented in the literature. In this chapter we review different forms of tackling uncertainty in Humanitarian Logistics for Disaster Management and propose a classification of the advances in this research field.

Keywords

Disaster Management Robust Optimization Demand Point Transportation Time Transportation Research Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Atlantis Press 2013

Authors and Affiliations

  • F. Liberatore
    • 1
  • C. Pizarro
    • 1
  • C. Simón de Blas
    • 1
  • M. T. Ortuño
    • 2
  • B. Vitoriano
    • 1
  1. 1.Universidad Rey Juan CarlosMadridSpain
  2. 2.Universidad Complutense de MadridMadridSpain

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