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When it comes to using new materials, medical and dental device makers are ultra-conservative—because they need to clear devices through a thicket of federal regulators.

New ISO safety specification helps automation developers design safer robots for close encounters on the factory floor

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

When Kimberley Hagerty became lean transformation manager at Pratt & Whitney’s Hot Section Module Center, she quickly realized that the company, while flush with the most advanced technology needed to make “the world’s most advanced jet propulsion system in the world,” lacked the “most advanced processes and systems that supported the manufacturing of that technology,” she told people attending The Digital Transformation, a smart manufacturing seminar SME held here recently.

Companies strategically adopt cutting-edge solutions to help solidify their position within a competitive marketplace. Years ago, blue light 3D scanning technology was implemented to help product development and alleviate coordinate measuring machine (CMM) bottlenecks.

It’s probably not a bad idea for smaller and mid-sized manufacturers (SMMs) to adopt an “us against them” attitude as they become aware of the prevalence of cyber-attacks in the digital age of the Industrial Internet of Things (IIoT) and Industry 4.0.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

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.

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

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.