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As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.

If left on their own, material handling assets will slowly degrade and eventually fail, often at the most inopportune moment. But with a little planning, you can not only extend their useful life, you can also optimize performance.

Whether we’re talking about linear pallet systems, simple pallet changers, or robots, it’s clear there is a huge opportunity to automate US machining operations. While horizontal machines are automated more often than verticals, vertical machining centers are more prevalent than horizontals so the greatest untapped potential is in automating verticals.

Moldmakers are under constant pressure to speed up the moldmaking process, improving their processes and product quality while boosting productivity.

Ongoing exchange between CAD/CAM software technology developers and cutting tool manufacturers is an excellent illustration of how technology collaborations can create productivity gains in manufacturing. Several examples involve our company and cutting tool manufacturers.

Like most auto manufacturers, NASCAR race teams are motivated to make vehicle parts better, cheaper and faster. Hundreds of the leading Fortune 500 brands are highly visible on the evocative vehicle paint schemes, pointing to continued healthy investment in the sport.

DMG Mori (Hoffman Estates, IL) delivers manufacturing technologies to aerospace OEMs and production shops supported by a package of CAD/CAM/CNC hardware, software, and engineering services from Siemens Industry Inc. (Elk Grove Village, IL) for aerospace machining. A long-time partner with Siemens, DMG Mori builds a variety of conventional chip-cutting and ultrasonic machining centers.

Skip the manual assembly line, forget about inserting Tab A into Slot B; automated assembly systems are growing more capable by the day.

The complex world of artificial intelligence and machine learning—and why it all matters

Breaking down barriers for small- and medium-sized manufacturers