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Relief distribution in humanitarian chains with socioeconomic priority: models and solution methods

Grant number: 16/19987-8
Support type:Scholarships abroad - Research
Effective date (Start): April 20, 2017
Effective date (End): November 01, 2017
Field of knowledge:Engineering - Production Engineering - Operational Research
Principal researcher:Douglas José Alem Junior
Grantee:Douglas José Alem Junior
Host: Tolga Bektas
Home Institution: Centro de Ciências em Gestão e Tecnologia (CCGT). Universidade Federal de São Carlos (UFSCAR). Campus de Sorocaba. Sorocaba , SP, Brazil
Research place: University of Southampton, England  


This Research Project is devoted to study a relief distribution problem in disaster situations under uncertainty. The novelty of this proposal rely on the development of a new optimization model to prioritize the relief assistance of the affected areas according to socioeconomic criteria, such as human development indexes, housing conditions, and so forth. In addition, as unsolicited donations may disrupt the post-disaster relief operations, we will include in the model the so-called material convergence constraints, so as to consider only the flow and distribution of solicited donations. The uncertainties will be represented by random variables within symmetric intervals and optimized from a worst-case robust optimization perspective. To solve practical instances of the proposed model, we will devise solution methods based on decomposition and heuristics. Both model and solution methods will be analyzed based on real instances from recent Brazilian disasters.

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