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Extended reality (XR) has burst onto the scene in the last few years, offering us amazing visualization possibilities in myriad application areas along the aerospace supply chain. While there has been explosive growth in this space of late, there is actually a very rich history between XR technologies, aerospace and Boeing.

In Paris, Smart Manufacturing Editor in Chief Brett Brune interviews Stéphane Lannuzel, chief digital officer for Operations at L’Oréal.

It’s probably not a bad idea for smaller and mid-sized manufacturers (SMMs) to adopt an “us against them” attitude as they become aware of the prevalence of cyber-attacks in the digital age of the Industrial Internet of Things (IIoT) and Industry 4.0.

Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

The U.S. needs to build a national infrastructure in engineering and manufacturing R&D that parallels its scientific infrastructure. While it makes all the sense in the world, it is not happening.

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.