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If Industry 3.0 is identified by the computerization of factory floor processes to make them “smart,” then Industry 4.0 can be understood as the expansion of the idea to include all of the non-factory floor inputs required to produce a quality product and a successful enterprise.

New system detects process anomalies during metal cutting in machine tools.

Innovation in smart manufacturing can come in a flash from a lightbulb moment, but those instances are few. More often than not, breakthroughs in technology, such as bioprinting, blockchain, cloud-based manufacturing and real-time production control, happen after years of careful study accompanied by painstaking, methodical work done sometimes in academic settings.

Dedicated in-house labs create and optimize laser welding processes for electric motors and batteries.

As manufacturing marches forward into the digital era, a growing ecosystem of standards is laying the foundation for a new generation of data management.

Full line of fiber and diode laser machines for cutting and hardening

(Narrated Smart Manufacturing magazine article)

Christoph Fedler, project director for equipment management at Rolls-Royce Germany, was facing a challenge: He needed to increase the available capacity of the prime discipline at the Oberursel facility, namely micrometer-precise grinding of curvic couplings.

Teenaged Jamie Yelle daydreamed as he pushed a broom across the floor of his father’s machine shop. As he cleared a path through aluminum chips, filings, and scraps of metal around the machinery, he imagined what the company would look like if he were at the helm.

As businesses across the globe are returning to work amid the COVID-19 pandemic, many manufacturers are reconsidering policies and procedures to ensure worker safety and adhere to new regulations in the post-pandemic environment.