DoD spends two-thirds of its budget on Operations and Sustainment (O&S) to ensure that the U.S. military is manned, trained, and equipped to prevail in any future conflict. OED’s Sustainment Analysis and Modeling group employs modern data-driven analytical approaches as well as modeling and simulation tools to help senior DoD leaders make sustainment decisions that will improve the readiness of the U.S. military.
DoD decision-makers need a clear and consistent picture of how resource decisions and investments affect operational readiness. A successful analytic solution must be able to integrate detailed component-level information for individual systems while accounting for the interconnected nature of operations, logistics, maintenance, personnel, and supply processes.
Because of the integrated nature of our models, we can show decision-makers how changes in one part of the sustainment structure—say, changes in repair capabilities—will affect other areas, such as the risk of shortage of key spare parts, and answer “what if” questions about how changes to operational tempo or maintenance concepts would affect the availability of weapon systems. We have also developed open-source software packages and trained DoD analysts how to use them to translate raw sustainment data like maintenance records and procurement contracts into item-level metrics, and then automatically populate complex sustainment simulations.
- Data-science and data visualization
- Bayesian statistics and machine learning
- Predictive analytics
- Stochastic modeling
- Supply analytics and spares optimization
- Maintenance and Reliability
- Depot throughput and capacity analyses
- Automation of sustainment analyses
Learn more here.