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In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.

Much has been written about potential applications for 5G. But a less well known application exists in the aerospace and defense industry—that pertains to manufacturing processes.

Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.

SHANGHAI—The $150 million “factory of the future” that the Swiss innovator ABB announced nearly a year ago is becoming reality in this enormous city’s Pudong New Area.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

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

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.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

SME discussed with David Olson of Verisurf the growing importance of Model-Based Definition and the use of standard formats by small and medium sized manufacturers.

Sudhi Bangalore, chief technology officer for global operations at the tool giant Stanley Black & Decker, champions the global movement toward smart manufacturing.