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Tuesday, December 15, 2020

Comments on Ford's Manufacturing Use of AI

 In the past had many connections with Ford in analytics use, now they are talking AI.   Here where they are talking applications in manufacturing.

Ford’s Use of AI an Example of Shaping of Innovation in MIT Future of Work Session  

In AI Trends by Allison Proffitt 

 .... Jeanne Magoulick, Advanced Manufacturing Manager, Ford Motor Co.

The use of AI for predictive maintenance, anticipating when a part may fail before it does, is proving productive for manufacturing at Ford, according to Jeanne Magoulick, Advanced Manufacturing Manager, Ford Motor Co.. She spoke as a member of a panel on Shaping Technology Innovation at MIT’s recent AI and the Work of the Future Congress 2020 held virtually. 

“We are excited about predictive maintenance,” Magoulick said. “It will make us more efficient. We can identify when a machine is trending out of control and may need maintenance, so we can schedule at the next available window. It’s the next level of predictive maintenance from what we do today.”  

It also helps in the ordering of needed replacement parts. “If we know the part is going bad, rather than holding the cash in our inventory, we can order it on demand,” she said.  

AI is also being applied to vision systems, making for more powerful abilities to conduct inspections during manufacturing. ”We can find defects anywhere, including seeing paint scratches,” Magoulick said.   

In addition, AI is being applied to further automate the auto manufacturing process, with research into where to apply the innovation ongoing. “We are using machine learning to try to reduce our cycle times,” she said. “We recently reviewed a use case for transmission assembly, which reduced the cycle time slightly the first time through.”  

In addition, Ford is experimenting with the use of natural language for voice commands to communicate with machines on the shop floor. “It’s Siri for manufacturing,” she said.   

Additional areas of research include studying audio to detect quality defects, “using AI to assess what is a good and what is a bad digital audio signature,” she said. Also, Ford is experimenting with collaborative robots on the shop floor, she said.       ... " 

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