Project Announcement: Artificial Intelligence / Machine Learning to Improve Supply Chain Management – Phase III
The US Department of Defense is partnering with industry and academia on a multiphase CTMA initiative to develop the strategy and verify/validate prototype software for a maintenance organization’s use of artificial intelligence/machine learning, with advanced mathematical algorithms in supply chain management to increase parts availability and reduce customer wait time.
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 for a resilient supply chain management strategy that demonstrates cost avoidance return. The in-depth analysis and implemented capability will be used to inform future investment strategies that can directly impact three crucial areas of focus: Pacific Deterrence Initiative (PDI), acceleration of the integration of autonomous capabilities within the manned/unmanned kill chain, and the potential to accelerate the divestment of legacy systems.
Specific objectives for this third phase include:
- Increasing gross issue effectiveness
- Decreasing customer wait time
- Increasing full mission capable availability rates
- Optimizing supply chain endpoints
If you feel your organization has the technical capabilities and would like to be considered for this project, please complete the form below and upload your organization’s technical capabilities statement.
Interested Submissions Due by 8/22/2023.
We encourage participation of Disadvantaged Business Enterprises (DBEs), including Minority Business Enterprises (MBEs) and Women’s Business Enterprises (WBEs).