These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

Italy’s primary train operator, Trenitalia, is combining the internet of things (IoT), analytics and in-memory computing in a project to make maintenance of its trains more efficient and effective.

Two hundred and sixteen centuries is a long time to wait for a broken lift. That figure is an estimate of the cumulative annual downtime of the 12 million elevators in the world which, if they are ...

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Steering through the dynamic terrain of the manufacturing industry, Artificial Intelligence (AI) emerges as the ultimate catalyst, reshaping the narrative of predictive maintenance. This revolutionary ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

It’s nearly impossible to attend an industry trade show or conference without hearing the terms “artificial intelligence” or “data-driven.” While they might sound like computer science terms, trucking ...

Startups that make technology designed to predict industrial equipment failures before they happen are seeing a surge in demand, as strained supply chains prompt manufacturers to squeeze more ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

Toyota Motor Corp. is no different than any other company. Like the rest, the automaker wants maximum uptime at the least cost possible. But it differs from many manufacturers in that it has an ...