CTMA Project #: 142193
Problem: Global logistics challenges facing the airline, ship and ground vehicles industries involve a complex operating environment with multiple suppliers and sub-tier suppliers, stove piped Supply Chain Management (SCM) approaches and varied configurations for their respective fleets. Specifically, the Marine Corps must increase efficiencies and effectiveness by influencing the type, range, and depth of the parts within spares packages to forecast a more accurate mix of high demand parts per aircraft, optimizing the efficiencies of those supply packages.
Benefit: Developing a feasible solution within the dynamic global environment that the Marine Corps operates in will demonstrate to the public what solutions are executable and should be easily transferable to the airline, ship and vehicle industries.
Solution/Approach: The primary objective of this initiative is to develop the strategy and prototype software for a maintenance organization’s use of Artificial Intelligence/Machine Learning, with advanced mathematical algorithms in SCM. The F-35 Joint Program Office (JPO) will act as a surrogate for this demonstration. Efficiencies will be realized by providing recommendations and a roadmap for algorithms using transactional data to forecast a more accurate mix of high demand parts and will provide a resilient SCM strategy.
Impact on Warfighter:
- Increase speed of decision-making
- Optimize maintenance and sustainment efficiencies and operations
- Reduce interruptions, downtime, and overall costs
- Improve warfighter readiness and lethality
DOD Participation:
- U.S. Marine Corps (USMC)
- (Assistant USMC Service Deputy) F-35 Lightning II Joint Program Office
- (USMC Service Deputy) F-35 Lightning II Joint Program Office
- Joint Strike Fighter Program Office
- U.S. Air Force (observer)
- U.S. Navy (observer)
Industry Participation:
- SteerBridge Solutions
- Team Dino Inc (TDI)
- NCMS
Benefit Area(s):
- Cost savings
- Repair turn-around time
- Maintenance avoidance and reliability
- Safety
- Maintenance management improvement
- Improved readiness
- Reliability improvement
Focus Area:
- Business IT and analytics
