K. Aydogdu
National Laboratory of The Rockies, Colorado, United States
Keywords: Supply chain resilience, Graph analytics, Mine-to-user tracing, Defense energy infrastructure, Trade route optimization
TROOPER (Trade Route Optimizer for Energy Resiliency) is a graph-theoretic supply chain analysis platform that fully unpacks multi-tier supply networks for defense-critical energy hardware—large power transformers, circuit breakers, and utility poles—by tracing all trade transactions back-to-back from the end-user to the mines. Built on harmonized system (HS) code-level trade data, TROOPER applies five network centrality metrics—giant connected component (GCC), betweenness, closeness, degree, and eigenvector centrality—to identify critical nodes and single points of failure invisible to conventional procurement audits. Supply chain branch transparency is classified using a traceable transparency methodology, and quantitative resilience is assessed via Monte Carlo simulation across probabilistic disruption scenarios. TROOPER further incorporates tariff and marine route distance analysis, ranking every sourcing pathway through a normalized combined score where cumulative tariff burden and port-to-port nautical miles are each min-max normalized and combined via a user-adjustable weighting parameter. Scenario analysis enables stress-testing under tariff shocks, geopolitical disruptions, and demand surge events. Demonstrated on DoD-relevant energy hardware, TROOPER delivers actionable intelligence to identify hidden supply chain vulnerabilities, prioritize resilience investments, and secure alternative sourcing routes before disruptions occur.