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When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.

SME’s Smart Manufacturing Hub will be part of IMTS this year. Smart Manufacturing asked past Hub speakers to imagine what manufacturing will look like in 2030. Here are their visions:

For CMMs, the good times continue to roll. “One of the surprising things that has happened in just the last three to four years is the sheer volume of CMMs that we are shipping,” said Angus Taylor, president of Hexagon Manufacturing Intelligence, North America (North Kingstown, RI). “The market seems to be really exploding.”

Any business owner knows that information is a vital part of running a company. As manufacturing increasingly becomes more digitized, cybersecurity must become a standard component of doing business.

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.

At the RAPID + TCT conference here, Vader Systems this week announced three unique offerings based on its patented Magnet-o-Jet technology.

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.

When the new ISO 9001:2015 certification standard was announced in late 2015, it made waves in manufacturing due to its heavy emphasis on risk management. In our experience, in helping companies become ISO 9001:2015 certified, we’ve seen first hand how the value of embracing a risk-averse culture and the other core aspects of ISO 9001:2015 extends to all aspects of operations.

As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.

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