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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.

Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.

FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.

Simcenter Testlab enables better usage of test-based data, from design and simulation to validation and certification.

Amada America Inc., Buena Park, C.A., a supplier of precision sheet metal production equipment and related systems, has expanded its customer coverage in the Southeast with the opening of a 190,000 ft2 (17,652 m²) manufacturing facility near High Point, N.C.

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.

Manufacturers who have deployed the digital or smart factory have put down their pencils, found new uses for their clipboards and closed their spreadsheet programs in favor of using real-time data gleaned from condition monitoring of their machinery.

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.