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According to CIMdata’s latest report, Mastercam is the No. 1 CAM software used worldwide. CIMdata also ranked Mastercam’s global support network as the largest in the field of CAM.

The virtualization of business-critical infrastructure is transforming the production and distribution of goods and services throughout the supply chain as industrial organizations shift focus from private to public and, ultimately, hybrid cloud deployments that connect and integrate on-premise resources with cloud resources.

Ask almost any CAD/CAM vendor what they’re focused on and they’ll tell you it’s the same today as it was five years ago, and it’ll be the same in five years: Get the part onto the machine as fast as possible and get it off the machine as fast as possible. Here’s the current state of play in those two main areas.

Visitors to the Valley of the Sun were recently treated to a dizzying display of software technology at Arizona’s Phoenix Convention Center. From June 4-7, the Siemens PLM Connection—Americas 2018 user conference hosted thousands of visitors from hundreds of manufacturing companies.

Successful manufacturing companies and distributors know the importance of a good ERP system. Without it, shipments suffer and profits fall. Part of keeping the ERP wheels greased, however, is staying current on software technology, as well as networking with industry peers.

While 3D scanning has already been adopted by many automotive part manufacturers, the use cases in Quality Control (QC) have been limited.

It’s the machine tool acronym you never bother to put into words: CNC. And much of the time it’s probably OK to view your “computer numerical control” as a black box doing magic. But if you’re struggling with high-speed machining, need better surface finishes or higher accuracy, have training and retention problems, or want a better handle on your production efficiency, the answer just might be the latest iterations of those three little letters.

There are plenty of manufacturing catchphrases: the Industrial Internet of Things (IIoT), Industry 4.0 and the Digital Factory. “Sometimes it’s a lot of buzzwords. Sometimes there’s a lot of reality behind it,” said Roger Hart, research and development manager of Siemens (Berlin and Munich, Germany).

Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.

When wrestling with vexing issues such as product complexity, lightweighting, advanced materials and new manufacturing methods, today’s manufacturing engineers increasingly use high-fidelity simulations to visualize solutions to these challenges.