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

Nuclear power has long been a clean, dependable source of energy throughout the world. However, as power plants age, concerns grow on their continued reliability. There are many components that make up the infrastructure of a nuclear power plant with the design intent to reduce radiation and contamination exposure to personnel, equipment, and the surrounding environment.

With the number of offline and in-process toolsetting options on the rise, developing a way to efficiently utilize this technology can be confusing. Which presetter should we buy? What about the software that’s so often part of these systems—do we really need it?

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

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.

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

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 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.

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.