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Adopting Model-Based Definition, or MBD, is key and an industry expert provides some guidance.

While the manufacturing industry learns to deal with COVID-19, it is also undergoing seismic change from other critical issues. Four industry leaders take on these issues in a panel discussion titled, “How Smart Manufacturing is Disrupting the Supply Chain - Are You Prepared?”

Laser cutting and waterjet cutting: two great technologies that go great together? Or best when they play solo? As ever, the answer is it depends—on what work a shop has coming in the door, what materials are being processed most often, operator skill levels and, ultimately, the available equipment budget.

Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

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.

Many of the strongest shops are challenging the convention that manufacturing is a conservative sector when it comes to new technology.

The concept of smart manufacturing has been evolving for a decade among leading manufacturers, expert practitioners and consortia organizations like CESMII–the U.S.

In a high-mix/low-volume environment, it’s not good enough to simply be part of the pack. Today you need to be out front and pulling away, powered by the best smart tech available.