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.
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A whole new layer of insight can be harvested inside factories with the data you already have, today. Companies are sometimes holding back from leveraging sensors and tools like AI and deep data analysis that would allow for it because of cultural gaps between, for example, IT and OT. Ownership issues can also be a problem if some are, say, building devices vs operating devices. Paul Boris, EVP at Praemo fights against using red herrings like security concerns inside the same factory to continue down the same old paths that limit performance. He understands how seductive risk avoidance can be. And he speaks frankly about this and other issues with Brett Brune, editor in chief of Smart Manufacturing magazine.
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.
Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.
Industry 4.0 creates new possibilities for leveraging data to increase production automation, throughput, quality and efficiencies.
CESMII project calls target development of core smart manufacturing technologies and solutions
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.
There is very good technology available today that helps manufacturers solve real problems, but that is not what digital manufacturing is about.
How do you ask your vendors for security? How do you assess how extensive their security knowledge and practices are?
The figurative skull and crossbones marking the tech-demo and -validation period commonly called the “valley of death” are in the rearview mirror, MxD CEO Chandra Brown asserts.