| With the legacy tools and processes at their disposal, manufacturers commonly take reactive or scheduled maintenance approaches that present a multitude of challenges: Production and productivity losses from unplanned downtime Excessive costs and risk of failure created by inefficient maintenance cycles Lack of Insight into asset performance history and root cause of failure Read on, in this whitepaper, about how predictive maintenance* results in an overall 70% reduction in asset breakdowns, 30% reduction in overall maintenance costs, and 12% cost savings compared to scheduled repairs.
Read Now
*Predictive maintenance is the practice of continuously collecting, analyzing and acting on real-time asset health and performance data to help you more easily predict and prevent asset failure. This whitepaper is provided by: | 