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New system detects process anomalies during metal cutting in machine tools.

UL says the novel coronavirus (COVID-19) has increased cybersecurity problems for manufacturers.

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.

With the potential for a 30% productivity increase or even more, there's a strong incentive for automating CNC machining processes. But before you flip the switch on that robot, you’ll need to check out the surrounding tools and processes.

The CEO of an artificial intelligence company discusses how AI affects workers and how AI can be deployed well.

Had IMTS 2020 taken place as scheduled, it would have been clear that making parts as quickly and cost-effectively as possible remains as the primary goal in manufacturing.

Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.

What a difference a month makes. In a survey by the Manufacturing Advocacy and Growth Network (MAGNET) in February, only 24 percent of Ohio manufacturers said innovation was a priority.

If Industry 3.0 is identified by the computerization of factory floor processes to make them “smart,” then Industry 4.0 can be understood as the expansion of the idea to include all of the non-factory floor inputs required to produce a quality product and a successful enterprise.