Impact Solution Challenge 1 • Must reduce plant out-of-service times - Results directly in lost revenue - Reduce unnecessary service crew travel costs • Predict life-time of factory components & machines • Predict machine failures that result in plant shutdown - Service needs before they become problems - Optimize maintenance schedule & crew utilization • Anticipate needs for replacement components - On-hand as needed, without extra carrying costs • Drastically reduce risk of shutdown as result of: - Critical equipment failure - Parts for repair being unavailable • Each avoidance $20+ Million per/day cost - Likely to avoid 1-2 shutdowns per year • Unify data in end-to-end tire lifecycle - Raw material to finished product • Range of data sources in their models: - Sensor data from the

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