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: