humanitarian aid distribution

Natural disasters happen frequently around the world, and when they affect developing countries, managing humanitarian aid effectively becomes critically important. In these situations, an enormous amount of information is generated, and decision-makers must be able to filter and focus on the most relevant data to respond quickly and efficiently. One of the main challenges is the distribution of humanitarian aid, which requires not only organizing available resources but also having accurate, up-to-date information on the evolving situation on the ground. Efficient management of both resources and information is essential to ensure that aid reaches those who need it most, minimizing delays and maximizing the impact of relief efforts.

In (Ortuño et al., 2013), a comprehensive literature review is presented, highlighting the most relevant studies on humanitarian aid distribution up to 2013. In this context, it is crucial to employ multicriteria decision-making techniques that allow for solutions taking into account multiple objectives simultaneously, such as operational cost, response time, equity, and the amount of aid distributed, among others, as illustrated in (Tirado et al., 2014).

This work, along with other related studies, has been incorporated into a decision support system presented in (Vitoriano et al., 2015). The case studies analyzed, including the 2010 Haiti earthquake, the 2005 Niger famine, and the 2010 Pakistan floods, have been documented in (Ferrer et al., 2018). Sharing these cases with the scientific community provides benchmarks for testing and evaluating new models and methodologies for humanitarian aid distribution.

References

2018

  1. Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications
    José M. Ferrer, F. Javier Martín-Campo, M. Teresa Ortuño, Alfonso J. Pedraza-Martínez, Gregorio Tirado, and Begoña Vitoriano
    European Journal of Operational Research, Sep 2018

2015

  1. Intelligent Decision-Making Models for Disaster Management
    Begoña Vitoriano, J. Tinguaro Rodríguez, Gregorio Tirado, F. Javier Martín-Campo, M. Teresa Ortuño, and Javier Montero
    Human and Ecological Risk Assessment: An International Journal, Feb 2015

2014

  1. A lexicographical dynamic flow model for relief operations
    Gregorio Tirado, F. Javier Martín-Campo, Begoña Vitoriano, and M. Teresa Ortuño
    International Journal of Computational Intelligence Systems, Feb 2014

2013

  1. Decision Aid Models and Systems for Humanitarian Logistics. A Survey
    M. Teresa Ortuño, Pilar Cristóbal, José M. Ferrer, F. Javier Martín-Campo, Susana Muñoz, Gregorio Tirado, and Begoña Vitoriano
    Feb 2013