Manufacturing Without Unplanned Downtime Could Become a Reality Sooner Than You Think
Unplanned downtime in manufacturing is one of the largest causes of lost productivity, causing delays, unhappy customers and lost revenue. In fact, the problem costs industrial manufacturers an estimated $50 billion each year, according to recent studies.
Short of a crystal ball, what can manufacturers do to reduce unplanned downtime? Predictive maintenance has made significant strides in recent years and represents a strong solution to this persistent manufacturing challenge.
The concept of predictive maintenance is not new, but the Industrial Internet of Things (IIoT) provides advanced predictive maintenance that combines sensors and machine learning to better predict when equipment may fail. These solutions hold tremendous potential. To increase adoption, we need to advance the technology to a point where manufacturers can make reliable decisions based on the predictions provided.
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