VIDEO: How to Take Predictive Analytics Beyond the Manufacturing Floor

Can predictive analytics can catch design related issues and prevent problems that occur in the field?

“Predictive analytics,” “Industrial Internet of Things” (IIoT), “digital factory” – you’ve likely heard these acronyms before, but how many factories are actually using these technologies?

In the video above, we speak with Clint Belinsky, VP of global quality for Jabil Circuit, a broad range contract manufacturer with multiple production processes who uses advanced techniques to implement “factory of the future” technology.

Belinsky shares with us how Jabil is implementing predictive analytics in its production processes today.

Using predictive analytics software in conjunction with process and automation technology, Jabil can collect data as products move down the line. This data can used to create a y=f(x) formula that can predict issues before they occur.

“Before that issue is about to occur, we can provide prescriptive instructions for operators or engineers to follow to prevent the problem from occurring,” said Belinsky. “We could also expand that once that’s working and expand that to include the data from the field, and develop models to predict when and how a product could fail in the field.”

To learn more about how Jabil Circuit is using digital factory technology, watch the video above and visit www.jabil.com

Written by

James Anderton

Jim Anderton is the Director of Content for ENGINEERING.com. Mr. Anderton was formerly editor of Canadian Metalworking Magazine and has contributed to a wide range of print and on-line publications, including Design Engineering, Canadian Plastics, Service Station and Garage Management, Autovision, and the National Post. He also brings prior industry experience in quality and part design for a Tier One automotive supplier.