Leading automotive manufacturers are using big data analytics to prevent costly production downtime by predicting when equipment failures will occur and identifying logistics bottlenecks.
Production downtime in auto manufacturing can be costly at a rate of up to $55,000 per minute. With such high costs, keeping production machinery running is critical to the bottom line.
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