Predictive Maintenance Software
Is your organization spending too much time on reactive maintenance? You’re in good company – studies show that organizations spend 80% of their time reacting to issues rather than proactively preventing them. What if you could flip that statistic, and continuously improve from there? With Predictive Maintenance software (PdM) and Condition Monitoring, companies have gone from 80% reactive to 90% planned in just a few months.
Condition Monitoring is the process of monitoring a parameter of condition in machinery (vibration, temperature etc.), in order to identify a significant change which is indicative of a developing fault. It allows preventive and corrective actions to be optimized by avoiding traditional calendar or run based maintenance.
Key Features in eMaint’s Predictive Maintenance Software
- Define monitoring classes for each asset
- Monitor noise, vibration, temperature, lubricants, wear, corrosion, pressure and flow independently
- Enter manually or import meter readings
- Define upper and lower boundaries of acceptable operation for each asset
- Display readings as a report with color-coded exceptions
- Auto-trigger emails when a boundary is exceeded
- Auto-generate work orders when a reading falls outside of predefined boundaries
- Perform data analysis to identify failures early, prevent breakdowns and optimize maintenance resources
CASE STUDY: Cleveland Tubing
Cleveland Tubing Uses eMaint CMMS Condition Monitoring for Predictive Maintenance
Cleveland Tubing, Inc. is a manufacturer of flexible, collapsible tubing products including FLEX-Drain and PumpFlex. The company set up eMaint so that meter readings on key indicators (temperature, pressure, fluid levels, suction) are imported and used to trigger priority work orders when work or inspection is needed based on predefined ranges.
Gary Payne, maintenance manager for Cleveland Tubing, notes that eMaint has become their maintenance decision support system, informing them of the tasks that need to be performed each day, based on elapsed time, equipment utilization and condition-based indicators. They also experienced:
- Automated reports for replenishing inventory on stocked and non-stocked parts
- Streamlined time tracking of labor for department of five maintenance employees
- Improved ROI calculations with better allocation of labor and material costs to assets
- The ability to evolve from reactive maintenance to planned maintenance to predictive maintenance via condition monitoring and automated alerts of potential problems on critical equipment
- Easily measure and track KPIs against world class standards (90% planned maintenance)
For more information, check out this month’s Best Practice webinar “Reactive to Predictive Maintenance” presented by Tyler Evans, Business Unit Manager at Fluke Corporation. Register today for the 6/14 webinar!