CESMII project calls target development of core smart manufacturing technologies and solutions
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Innovation in smart manufacturing can come in a flash from a lightbulb moment, but those instances are few. More often than not, breakthroughs in technology, such as bioprinting, blockchain, cloud-based manufacturing and real-time production control, happen after years of careful study accompanied by painstaking, methodical work done sometimes in academic settings.
When the ergonomics team at General Motors decided to field test wearables to augment their plant workers’ physical abilities, they partnered with body mechanics experts who collect data in a scientific way—and talked with users.
Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.
Dana Inc., the automotive supplier that outfits many of the world’s leading automobile brands with drivetrain components and more, is building something very special in-house.
There is very good technology available today that helps manufacturers solve real problems, but that is not what digital manufacturing is about.
One of the biggest challenges that any shop faces in 2020 is finding skilled workers to backfill those baby boomers who are retiring, or simply finding staff to meet the demand of a healthy manufacturing economy.
The impact of COVID-19 has changed the way we conduct business, and now, more than ever, illuminates the need for manufacturers to assess their processes and implement smart manufacturing technology.
Manufacturers make strategic and operational decisions with digital production data and analytics, including information ranging from part counts and output speeds to machine conditions and alarm status.
The ability to take Industry 4.0 software and implement it into your current server system, connect your machine tools, start collecting data and make it valuable to your business is very easy to do. That is according to Brad Klippstein, supervisor and product specialist at Okuma America Corp., Charlotte, N.C.