Investing in preventive measures for disaster response, such as the strategic prepositioning of emergency supplies items, is a way that humanitarian organizations can rely on to enhance their preparedness. However, it is important to consider disruptions risks when locating facility since some may become functionless. This paper presents findings obtained from a research conducted as a scientific initiation that proposes using robust optimization for emergency supply chain design that are able to meet the demand when up to ℾ distribution centers were completely destroyed after a disaster strikes. The initial idea was proposed by the advisor, while the development of mathematical formulations was performed by the student under his supervision. The main activities performed by the student in this research comprised studying related literature, collaborating on model development, computational implementation, data gathering, and result analysis. Results suggest that the proposed methodology could deliver efficient disaster relief plans in real cases.
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