"A new combat tool is helping the US Army predict what ammo, fuel, and supplies it'll need by gaming out how enemies might attack. The change is speeding up and breaking down barriers within the logistics chain, with real-time data helping troops, commanders, and sustainment planners predict what's needed so that they don't get left waiting around for days only to find they're facing a critical supply shortage."
"At an exercise happening right now at Fort Carson, Colorado, the Army and a team of industry partners, including Anduril, are expanding NGC2 to make supply chain data more accessible and predictive when it comes to what soldiers need to fight. With the NGC2 software, "it's no longer, 'Hey, operations, what is your next 24-hour plan or what's your next 48-hour plan?'" James Craven, the NGC2 program director at Anduril, said at a media roundtable on Tuesday."
"Instead, operational plans are able to be quickly shaped off of logistics data and commander guidance and then stress-tested against simulated enemy actions. Those simulations allow planners to examine multiple scenarios, showing how demand for ammunition, fuel, maintenance, or medical support could change depending on what an adversary does. The longer-term aim, Craven said, is to make the system accessible across the service and to key partners, allowing suppliers to estimate future"
NGC2 (Next Generation Command and Control) uses real-time logistics data and simulated enemy actions to predict ammunition, fuel, maintenance, and medical support requirements. The system speeds logistics by breaking down information barriers so troops, commanders, and sustainment planners can avoid multi-day delays and unexpected critical shortages. NGC2 is being matured through exercises and tests that integrate weapons, vehicles, sensors, and additional data streams. At Fort Carson, industry partners including Anduril are expanding the system to make supply chain data more accessible and predictive, enabling operational plans to be shaped by logistics data and stress-tested across scenarios.
Read at Business Insider
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