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.
Authors
- Keziban Rukiye Tasci (ORCID: https://orcid.org/0000-0003-1381-0910)
- Stephen A. Vosti (ORCID: https://orcid.org/0000-0001-8928-5396)
- Özlem Ergün (ORCID: https://orcid.org/0000-0002-3420-3338)
- Patrick Webb (ORCID: https://orcid.org/0000-0002-9857-3354)
- Weijia Jing (ORCID: https://orcid.org/0009-0003-1927-8379)
Institutions
- Boston College (US)
- Tufts University (US)
- Northeastern University (US)
- University of California, Davis (US)
Publication Details
- Journal
- INFORMS Journal on Applied Analytics
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1287/inte.2024.0111
- Primary Topic
- Facility Location and Emergency Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00