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As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

There is no shortage of competition in a global market. As a manufacturer trying to get ahead of the pack, automation can help with problems like a limited skilled labor force, quality control issues and suboptimal throughput. But the high initial cost and extended implementation time can be deterrents.

Manufacturers are facing shrinking product lifecycles with frequently changing customer demands. As a result, they need agile production and flexible factory layouts that can easily be modified whenever needed.

Cyber criminals are increasingly setting their sights on today’s digitized manufacturing industry as an entry point into government and commercial supply chains.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

Most companies do not have a clear strategy for how they are applying IoT, Mark Weatherford, former Deputy Under Secretary for Cybersecurity at the Department of Homeland Security, said at an exclusive roundtable Smart Manufacturing convened recently in Chicago.

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

The Grinding Symposium 2019 hosted by the United Grinding Group attracted hundreds of journalists, customers, and other stakeholders from around the world. Held near its Studer subsidiary’s plant in Thun, Switzerland, the scenery of the Alps and a warm welcome was combined with a purpose: education.

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.

When it comes to the production of high-precision parts for industries ranging from aerospace to medical, grinding remains the best, most cost-effective approach to obtaining fine surface finishes and tight tolerances.