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Smart manufacturing is now being rapidly adopted by a much wider range of business sectors.

Industry 4.0 is often presented as a complex, somewhat overwhelming topic that involves large companies only. However, the data collection and transfer at the heart of Industry 4.0 can be as relevant to job shops and other small to medium sized enterprises as large companies.

In August, Rob Sullivan had an installation scheduled for two of his autonomous mobile robots at the Deutsche Post DHL Group’s Innovation Center in Troisdorf, Germany.

LIFT recently expanded the focus of its desire to “create innovations faster, better and cheaper” to the materials, processes and systems involved in moving innovations from concept to commercialization.

Like the United Nations’ international delegates who use interpreters to understand each other, robots, machines and other industrial components from various vendors speak different computer languages and need translators to help them communicate.

The current COVID-19 experiences have energized many conversations about our futures in the post-COVID world, and that includes the future of manufacturing.

Long gone are the days where the only solution to human error was human correction. As engineers today, we have access to smart technology that no other generation could have ever imagined.

To get to smart manufacturing, the industry needs integration, simulation and analysis.

Risk-management technology is beginning to help manufacturers cope with the supply-chain upheaval caused by the COVID-19 pandemic, said Thomas Derry, CEO of the Institute for Supply Management: “We are a lot better at managing risk than even 10 years ago.”

New report from Claroty researchers finds latest ICS vulnerabilities most prevalent in energy, critical manufacturing, and water & wastewater sectors of critical infrastructure