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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).

Artificial intelligence will go long way to imbue data management with trust.

A decade removed from the Great Recession, the U.S. job market is thriving. Because employers are struggling to fill empty positions, they must explore other ways to increase production needs.

What does a submarine operating underwater have in common with a metal stent propping open a human artery? More than you’d think initially.

Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.

Several years ago, a global commercial vehicle maker asked my firm to develop a remote fleet management, health and performance portal that would open a new revenue stream.

The latest mobile robots are designed to accomplish tasks in manufacturing plants without requiring major factory modifications. This emerging robot generation also meets workers where they are, functioning more like independent team members as opposed to complicated, difficult-to-use hardware.

Necessity, as the saying goes, is the mother of invention, and this symbiotic relationship between need and solution was on full display at a recent two-day, two-location event hosted by GF Machining Solutions.

Hybrid manufacturing—using one machine to perform both additive and conventional subtractive manufacturing processes—is gaining traction across manufacturing sectors, allowing companies to leverage the benefits of both.