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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.

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.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.

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.

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

It’s said that holemaking is the most commonly performed of all machining operations. And it stands to reason that most of those holes must be reamed or most likely bored after drilling. For as long as machinists have been boring holes, however, they’ve struggled with a variety of problems.

Suppliers need to conduct inquiries now about how to improve machining, processes and operations so they are ready for the flight out of the pandemic pit.

We can be proud of how companies have remained resilient throughout the pandemic. That resiliency will be further challenged.