Mathematical models for the evacuation in the humanitarian supply chain: a review
Abstract
Natural disasters represent a global threat, since they are related to climate change. Due to the destructive nature of these natural phenomena, the economic and social impact it leaves on populations and countries is considerably high. The humanitarian supply chain is gaining great interest in academia, business, and government because of its relevance to dealing with natural disasters. In this paper, a literature review of mathematical models of evacuation in the humanitarian supply chain was carried out. 36% of the articles are oriented to the pre-disaster phase, 32% to post-disaster and 32% in an integrated phase. Likewise, 83% of the articles propose deterministic models and 17% non-deterministic. The most common methods to solve optimization models are metaheuristics algorithms, network flow and vehicle routing problem. On the other hand, the methods proposed to solve the models without optimization are stochastic programming, probabilistic models, Markov processes and agent-based models. As future work, it could be suggested to address problems focused on the pre-disaster stage with multiple periods of time in order to establish adequate strategies with more complete preparations.
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References
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Referencias
Behl, A., & Dutta, P. (2018). Humanitarian supply chain management: a thematic literature review and future directions of research. Annals of Operations Research, 283, 1001–1044. https://doi.org/10.1007/s10479-018-2806-2
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Chiappetta, C.J.; Sobreiro, V.A.; de Sousa Jabbour, A.B.L.; Campos, L.M.S.; Mariano, E.B.; Renwick, D.W.S. (2019). An analysis of the literature on humanitarian logistics and supply chain management: Paving the way for future studies. Applications of OR in Disaster Relief Operations, 283, 289–307. https://doi.org/10.1007/s10479-017-2536-x
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