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Aerospace and defense sectors are emerging from the pandemic more resilient while other sectors, including automotive, struggle meet demand.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

CESMII – The Smart Manufacturing Institute said it added GE Digital to its ranks of partners and members.

Good science does not equate to workable manufacturing. This has been a longstanding truth in tissue engineering, a field that has been in limbo between academic R&D and commercialization for its entire decades-long existence.

For most of its history in manufacturing, metrology’s competitive arena was at the point of measurement.

When a legacy automotive or aircraft part breaks and needs a replacement, manufacturers currently have no good options.

America Makes, the public-private partnership that the Obama administration set up to foster research and innovation in additive manufacturing, achieved a significant milestone late last year: an online portal to track gaps in additive manufacturing (AM) standards.

As we enter Industry 4.0, the lines continue to blur between the digital and the physical. With this, the workplace is rapidly changing at every level in every industry.

U.S. manufacturing in general, and small- and medium-sized manufacturers in particular, are in danger of being left behind as Europe and Asia move faster toward Industry 4.0, John Dyck, CEO of the Clean Energy Smart Manufacturing Innovation Institute (CESMII), told congressional staff, federal agency staff in a February briefing.

Had IMTS 2020 taken place as scheduled, it would have been clear that making parts as quickly and cost-effectively as possible remains as the primary goal in manufacturing.