Optimization-based Evaluation of Global Logistics Capacity
USAID Office of Foreign Disaster Assistance
USAID/OFDA has such response capacity through pre-positioned stock and could set an example for evidence-based resource allocation to address future humanitarian responses. Optimization-based metrics could assess the effectiveness of its global stock portfolio in addressing a portfolio of anticipated global disaster risks in the future. Such analysis could also be extended to consider contingent capacity from suppliers on contract, and incorporate a portfolio of transportation resources to move items from pre-positioning warehouses to disaster locations. Optimization-based metrics could then inform USAID/OFDA decision-making regarding stockpile deployment, and potentially contract negotiation for suppliers and transportation providers. This evidence base could also foster coordination efforts for humanitarian supply pre-positioning across organizations at the international, regional and national levels.
The MIT Humanitarian Supply Chain Lab within the MIT Center for Transportation & Logistics (CTL) will collaborate on this work with the USAID OFDA Logistics team.
Summary Report Phase I
Phase I Presentation
Founder and Director