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As one of the oldest and most prestigious research-lead universities in Europe, KU Leuven is an institution that is always seeking to innovate and stay on top of the latest trends and technologies. When it comes to manufacturing, the institution is an advocate of additive processes and dedicates a research group to the technology.

A fully connected factory floor is the way forward for any manufacturer seeking to fully realize the Industry 4.0 vision.

Product lifecycle management (PLM) software helps manufacturers manage, shape, guide, and refine new product developments, speeding up the design and production process.

The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.

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 is publishing a series of Smart Manufacturing Industry Reports, with the third being released at IMTS this month. The reports, available at sme.org/reports, detail the advantages of smart manufacturing, the challenges to implementing digital solutions, and, finally, keys to implementing the technologies and tools.

Smart factory systems benefit from improved technologies, as well as proven applications.

For Dale Mickelson, Yasda product manager at Methods Machine Tools Inc. (Sudbury, MA) and author of several books on hard milling, tackling heat-resistant superalloys (HRSAs) requires the perfect combination of machine, workholding, tooling, tool paths and coolant.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.