C. Wright
Skyplate Technology LLC, Texas, United States
Keywords: Contested logistics, predictive sustainment, Monte Carlo forecasting, supply chain illumination, warfighter readiness
SDRC-MAP (Supply, Distribution, and Readiness Condition – Multi-Actor Platform) is a software-only logistics intelligence layer for contested and distributed operations. It ingests data from GCSS-Army, RFID/IoT reads, fuel and water sensors, ATAK reports, joint/coalition feeds, and ISR/weather risk, then normalizes those feeds into a probabilistic state model for each unit and supply node. The platform uses Monte Carlo forecasting and queueing/routing optimization to estimate time-to-depletion, detect emerging shortages, and recommend risk-adjusted resupply courses of action. In modeled battalion scenarios with 20–40% degraded communications, 80,000 Monte Carlo runs projected supply continuity increasing from 0.71 to 0.964, shortage detection increasing from 0.58 to 0.93, resupply inefficiency falling from 22% to 9%, and missed resupply events falling to 3.1%. Phase I proposes a 12-month, $1.45M pilot that de-risks API integration with legacy and next-generation systems, demonstrates a commander dashboard, and validates the model against synthetic and proxy logistics data. SDRC-MAP is designed for rapid pilot execution, GovCloud/IL5 migration, and scalable deployment across Army, joint, and coalition sustainment networks.