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New capability adapts process parameters for optimal results independent of operator experience for its LT Fiber EVO and CO2-type LT722D.

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.

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.

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

Because of governments’ undying devotion to research and development investments that bolster military capabilities, aerospace & defense represents the leading-edge market segment in smart manufacturing.

Supply-chain stresses are especially troublesome to the aerospace industry and its Tier suppliers. It’s critical that manufacturers in this industry attain a comprehensive understanding of their vulnerabilities.

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.