A Model-Driven Decision Support System for Aid in a Natural Disaster

  • Juan SepulvedaEmail author
  • Jessica Bull
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1026)


This article deals with the architecture of a support system for helping decision makers in optimizing aid distribution during natural disaster situations. In such type of events, one of the critical tasks is the transportation of staff, people, food and medicines. Given the complexity of the operations scheduling, the article proposes a model-driven decision support system with an embedded module for solving a vehicle routing problem.


Natural disasters logistics Decision support systems Routing 



The authors wish to thank the Industrial Engineering Department and DICYT of the U. of Santiago de Chile for their support. Special recognitions to former Col. Mr. Victor Drake of FACH for his cooperation during the scenario reconstruction.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universidad de Santiago de ChileSantiagoChile
  2. 2.Universidad AustralPuerto MonttChile

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