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New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more.

US manufacturers are discovering the policies of the Trump administration aren’t like a cafeteria. You don’t get choose which policies you want.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

As OEMs and suppliers alike wrestle to convert Big Data to Smart Data, Industry 4.0 and digitalization, plus cloud-based technologies for production monitoring and management, how do manufacturers best work together with end-users to achieve today’s production targets and plan future facilities?

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.

Technological gains, young ambassadors, apprenticeships help. But manufacturers’ training investment remains a problem.

Looking to reduce costs, save time and enhance your design options? Take inspiration from real examples of manufacturer’s who have achieved all these and more.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Smart manufacturing is about making the best decisions in the shortest time possible based on the most accurate real-time data—whether those decisions are made by people, machines or cyber-physical systems.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.