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A GRASP metaheuristic for humanitarian aid distribution

Author

Listed:
  • José M. Ferrer

    (Universidad Complutense de Madrid (UCM))

  • M. Teresa Ortuño

    (Universidad Complutense de Madrid (UCM))

  • Gregorio Tirado

    (Universidad Complutense de Madrid (UCM))

Abstract

Large scale disasters, natural or human-made, have huge consequences on people and infrastructures. After a disaster strikes, the distribution of humanitarian aid to the population affected is one of the main operations to be carried out, and several crucial decisions must be made in a short time. This paper addresses a last-mile distribution problem in disaster relief operations, under insecure and uncertain conditions. A model is presented that takes into account the cost and time of operation, the security and reliability of the routes, and the equity of aid handed out. The output of the model consists of a detailed set of itineraries that can be used to build an implementable distribution plan. Given its high complexity, the resulting problem is solved using a multi-criteria metaheuristic approach. In particular, a constructive algorithm and a GRASP based metaheuristic are developed, which are tested in a case study based on the 2010 Haiti earthquake.

Suggested Citation

  • José M. Ferrer & M. Teresa Ortuño & Gregorio Tirado, 2016. "A GRASP metaheuristic for humanitarian aid distribution," Journal of Heuristics, Springer, vol. 22(1), pages 55-87, February.
    • Handle: RePEc:spr:joheur:v:22:y:2016:i:1:d:10.1007_s10732-015-9302-5
    DOI: 10.1007/s10732-015-9302-5
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    References listed on IDEAS

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    Cited by:

    1. Bruni, M.E. & Khodaparasti, S. & Beraldi, P., 2020. "The selective minimum latency problem under travel time variability: An application to post-disaster assessment operations," Omega, Elsevier, vol. 92(C).
    2. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    3. Ferrer, José M. & Martín-Campo, F. Javier & Ortuño, M. Teresa & Pedraza-Martínez, Alfonso J. & Tirado, Gregorio & Vitoriano, Begoña, 2018. "Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications," European Journal of Operational Research, Elsevier, vol. 269(2), pages 501-515.
    4. N. A. Arellano-Arriaga & J. Molina & S. E. Schaeffer & A. M. Álvarez-Socarrás & I. A. Martínez-Salazar, 2019. "A bi-objective study of the minimum latency problem," Journal of Heuristics, Springer, vol. 25(3), pages 431-454, June.
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    6. José M. Ferrer & M. Teresa Ortuño & Gregorio Tirado, 2020. "A New Ant Colony-Based Methodology for Disaster Relief," Mathematics, MDPI, vol. 8(4), pages 1-23, April.
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    8. German A. Velasquez & Maria E. Mayorga & Eduardo A. R. Cruz, 2019. "Prepositioning inventory for disasters: a robust and equitable model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 757-785, September.

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