Train, educate, and develop agile Ordnance technicians who drive change; employ, develop, and design DOTMLPF-P solutions to build Army strategic readiness and sustain land dominance for LSCO (Army 2030-2040) in Contested Environments.
OD Leadership
Mission
Vision
Build a Network of Maintenance Capabilities, build the Future Technician, and Cultivate the Workforce we need for the Army of 2030-2040.
Highlights
Sustainment News
The Future Possibilities of Operational Energy
By SSG Joshua R. Charles |
Fossil fuels, including coal, oil, and natural gas, have been dominant sources of energy for the past 150 years, supplanting whale oil in the late 19th century as the top energy industry. Their widespread adoption occurred because of their high energy density, accessibility, and relatively low cost compared to alternative energy sources. Since the implementation of combustible fuel engines in military equipment, petroleum has been heavily relied on by the DoD. During World War II, with the revolution of armored warfare involving trucks, tanks, warships, and planes, maintaining a steady supply chain of petroleum in a contested environment proved difficult.
Army Sustainment Enterprise’s Delayed Approach to Data Modernization
By LTC Nate Platz and CPT Bailey K. Smith |
Artificial intelligence (AI) is coming, but not for the tactical Army sustainment enterprise. At least, not until the Army sustainment enterprise formulates a clear and actionable data strategy. In this article we address challenges facing the implementation of AI for predictive logistics and explore opportunities to bridge the gap through internal innovation and partnership with industry.