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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.

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.

A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.

Automated manufacturing operations are finely tuned ecosystems in which all components must function in complete harmony. Grippers used to pick and place, orient and hold components or end products at various points along the production chain are key to this process.

When a long-time customer came to Northwood Industries, Perrysburg, Ohio, with a challenge to redesign and make a part for one of its commercial paint spray guns, the company was pretty sure they had it covered.

Digital manufacturing solutions with product lifecycle management (PLM) tools hold great potential for manufacturers to eventually fully unlock the promise of the Industrial Internet of Things (IIoT).

Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.