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Manufacturers make strategic and operational decisions with digital production data and analytics, including information ranging from part counts and output speeds to machine conditions and alarm status.

March 2020 U.S. cutting tool consumption totaled $189.8 million, according to the U.S. Cutting Tool Institute (USCTI) and AMT – The Association For Manufacturing Technology.

Respondents in a survey said supply chain planning drives better business performance.

In the 1955 short story “Autofac,” Philip K. Dick envisioned a world dominated by self-replicating robots that work incessantly, eventually depleting the planet’s resources.

Vibrations, chatter marks, and tool failure are all problems that can be prevented with intelligent monitoring and feedback systems.

The history of cutting tools goes back a ways—a long, long way. Our prehistoric ancestors were pretty good at making stone tools, and the technology has improved from there. I saw how much on a February visit to the Deutsches Museum in Munich, which has an exhibit on the history of machining.

Not long ago, the mention of workholding might call to mind the traditional vise or three-jaw chuck. The integral nature of proper fixturing to successful machining has forever changed that paradigm and made workholding as critical to the manufacturing process as any of the machines or systems of which it is a part.

Using Blockly to make robots easier to install and operate without specialized training.

Modern manufacturing is a data-driven endeavor. The sheer volume of data available to be collected and analyzed is staggering—and something that couldn’t have been envisioned even 20 years ago.

Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.