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We have been remiss in not reporting a great deal on wearables since starting this magazine in early 2016. So, in this issue, we tackle that subject on two fronts of great import: worker safety and worker retention.

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.

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

As manufacturing undergoes the revolutionary changes of the Digital Age, the people with the keenest leadership skills have taken up the charge to modernize the industry so that it leverages the cloud and Big Data and is connected and smart.

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.

The IUPUI Mechanical Engineering Technology program concentrated on Mastercam and the online benefits of Mastercam University for its students. This approach paid big dividends on a unique Indy Car project for the Indianapolis Motor Speedway.

How do we turn all the data collected at each step of the manufacturing process into something usable?

What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.