The goal is simple: reduce unplanned downtime by avoiding failure while increasing the productive life of your assets. If you can’t avoid the failure, prepare for it with the right personnel and parts, and recover line operation much faster.
Regular maintenance schedules are wasteful and inefficient. Leveraging ensemble machine learning techniques, you can predict equipment failures and plan repair actions well in advance.
Reduction in downtime – increases throughput and revenue to the order of tens of millions of dollars every year