Displaying 81-90 of 94 results for

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.

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.

Inside an electronics factory in China as late as early 2019, workers and smart machines were building circuit boards with chips in a multi-step process using a variety of machines from different vendors.

We have been remiss in not reporting a great deal on wearables since starting this magazine in early 2016. So, in this issue, we tackle that subject on two fronts of great import: worker safety and worker retention.

Although the first iteration of 5G technology has offered limited use cases in manufacturing, the next two generations, now expected to be available in the fall of this year and then the fall of next year because of COVID-19-related delays, will help factory owners achieve greater digital transformation of their factories.

CESMII project calls target development of core smart manufacturing technologies and solutions

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.