Georgia Tech researchers are working to make U.S. manufacturing and defense supply chains more secure and resilient by combining digital part tracking, cybersecurity, AI-enabled quality verification, and real-time supply chain monitoring.

As manufacturing becomes more connected, Saman Zonouz’s research shows why cybersecurity must be built into industrial systems from the start, before hidden vulnerabilities become threats to production, public safety, and national security.

From physical AI to cybersecure factory design, Georgia Tech's Manufacturing Institute is setting the pace for the next era of American production.

The cloud lab will give researchers nationwide remote access to Georgia Tech’s Advanced Manufacturing Pilot Facility, pairing AI with autonomous experimentation to accelerate new materials discovery.

Discover the insights that can help you adapt, build resilience, and keep your organization moving.

Discover the insights that can help you adapt, build resilience, and keep your organization moving.

Rural Georgia teachers gain practical machine shop training at Georgia Tech, bringing advanced manufacturing skills back to their classrooms.

Mr. Grajczak brings nearly 15 years of deep expertise at the intersection of procurement, supply chain logistics, and private equity value creation to the role.

For Steven Ferguson, deputy director of the Georgia Tech Manufacturing Institute and executive director of the Georgia Tech Manufacturing 4.0 Consortium, advancing Georgia’s manufacturing industry and its workforce is personal.

Georgia Tech’s Manufacturing 4.0 Consortium uses AI and industry partnerships to turn research into real-world manufacturing.

While modern supply chain analytics and AI are more advanced than ever, technical capability must be paired with rigorous critical thinking and operational discipline to ensure data-driven models translate into successful real-world decisions.

While modern supply chain analytics and AI are more advanced than ever, technical capability must be paired with rigorous critical thinking and operational discipline to ensure data-driven models translate into successful real-world decisions.