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Part 1 of this three-part series on the Connected Machine Shop ran in the July issue of Manufacturing Engineering.

COVID-19 revealed some deep-rooted shortcomings in our approach to manufacturing and to supply chain design in the U.S. Well beyond the immediate and urgent need for PPE, we saw dramatic swings in both supply and demand for almost everything bought and sold here.

Change is hard. Whether it’s learning a new software package or setting up a new model of machine tool, many of us wonder at some point, “Is all this hassle worthwhile?” Change can also be risky, raising the specter of lost time, revenue, and reputation.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

The human factor is sometimes just too cumbersome in manufacturing. Take the German chipmaker Infineon: By using an autonomous robot called Scout from MetraLabs for the last several years, the automotive supplier shrank to 10 from 300 the number of minutes it takes to collect the clean-room data needed to measure the presence of rare gases in the air.

The technology behind the rise of cryptocurrencies is widely expected to bring ‘a common source of truth’ to manufacturing.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible.

A conversation between Smart Manufacturing Editor in Chief Brett Brune and Sridhar Kota, professor of mechanical engineering at the University of Michigan and Executive Director of MForesight. 

Within manufacturing, a shift has begun to extend big data analytics and condition monitoring beyond the factory door to both ends of the supply chain—to customers, other end users and to second-and third-tier suppliers.

Additive manufacturing (AM) refers to processes used to make a three-dimension object layer-by-layer. The shape of each layer can be dynamically controlled by computer-aided design (CAD).