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Fei Tao
Digital TwinsSmart ManufacturingCloud ManufacturingIndustrial DataLifecycle ManagementIndustry 4.0
About
Fei Tao is a professor at Beihang University and a leading researcher in digital twins, smart manufacturing, cloud manufacturing and lifecycle data integration.
His work advances digital twins for industrial systems.
Dataleo perspective
A digital twin must document model fidelity, synchronization frequency, data ownership and the decisions it is authorized to influence.
Industrial teams need version control, validation and failure handling before smart manufacturing models drive operations.
Related content
Around Fei Tao (11)
- alertsEVENT: Smart Manufacturing Day convenes industrial data and automation practitioners2026-07-07
- newsWalmart uses AI and digital twins to manage global supply-chain disruption2026-07-14
- insightsDigital twins only matter when they change replenishment and routing decisions2026-07-14
- newsNew review maps five practical AI-adoption patterns in Supply Chains2026-07-12
- insightsSupply Chain AI adoption is moving from visibility to controlled action2026-07-12
- alertsEVENT: AIM 2026 concludes its programme on AI in materials and manufacturing2026-07-10
- insightsEdge AI requires lifecycle control, not only real-time inference2026-07-04
- insightsSupplier risk visibility is not enough without downstream impact translation2026-06-25
- alertsEVENT: Digital Twins & Process session focuses on supply-chain scenarios2026-06-24
- alertsEVENT: Automate 2026 opens in Chicago2026-06-22
- insightsA digital twin is useful only when it feeds one governed capacity truth2026-06-21