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There is no shortage of competition in a global market. As a manufacturer trying to get ahead of the pack, automation can help with problems like a limited skilled labor force, quality control issues and suboptimal throughput. But the high initial cost and extended implementation time can be deterrents.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

Manufacturers are facing shrinking product lifecycles with frequently changing customer demands. As a result, they need agile production and flexible factory layouts that can easily be modified whenever needed.

Most companies do not have a clear strategy for how they are applying IoT, Mark Weatherford, former Deputy Under Secretary for Cybersecurity at the Department of Homeland Security, said at an exclusive roundtable Smart Manufacturing convened recently in Chicago.

Metalworking machines are fast, powerful, and accurate, but they weren’t always as capable as they are today. Modern equipment is more nimble, flexible and adaptable. The machines collectively exceed the sum of their parts.

The well-established field of laser marking continues to break new ground with expanding business opportunities in automotive, oil and gas, medical and other industries.

When it comes to materials, artificial intelligence can automate the screening process, simulate the performance of different materials and identify the best option.

The reactor was designed to scale up production of CNT film, particularly for the automotive industry’s ADAS market.

Mass efficiencies aid decarbonization efforts