Enhancing Cost-Efficiency and Effectiveness in USAID’s Food Aid Supply Chain Operations in Ethiopia

This paper develops a data-driven optimization model of USAID/BHA’s food aid supply chain to evaluate the impact of advance demand information and commodity prepositioning strategies. Using historical data from Ethiopia and a rolling horizon solution approach, the study quantifies trade-offs between cost-efficiency and delivery performance under multiple operational scenarios.