A healthy fleet is the key to a thriving logistics business. And you can’t keep a healthy fleet without regular vehicle maintenance. But with a few different types of maintenance at your disposal, ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

Commercial trucking is one of the most data-rich industries on the planet - and yet, for decades, most of that data went ...

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Predictive maintenance aims to minimize unplanned downtime by using artificial intelligence (AI) and machine learning to identify impending problems, so they can be addressed before they take effect.

Predictive maintenance is no longer "asset maintenance excellence." It's supply chain resilience engineered into the physical layer of business operations. When critical assets fail unexpectedly, the ...

In its most simplistic sense, there are two types of maintenance: reactive and proactive. While reactive requires managing a failure after it occurs, the various proactive maintenance approaches allow ...