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
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)
AFRIGRID Delivers Valuable Asset Management Services & Maintains 100% Compliance on SLAS with eMaint CMMS
Headquartered in South Africa, AFRIGRID offers a holistic approach to Infrastructure Asset Health Management, Predictive Maintenance and Infrastructure Asset Protection solutions. eMaint CMMS helps AFRIGRID keep up with maintenance and establish a historical record of the maintenance performed.
The company utilizes eMaint’s condition monitoring tools to prevent potential failures, and to predict when maintenance will need to be performed on assets such as generators, air conditioning units and electric motors. To streamline work and improve response time, each asset is assigned to a particular technician, and work orders are sent to the correct person automatically.
By leveraging eMaint’s tools, AGRIGRID’s operational effectiveness of equipment has increased, and downtime has been reduced because technicians are now equipped with all necessary processes and parts. As a result, the company has more time than ever to engage in other new projects.
For even more information about the power of Predictive Maintenance, check out our Best Practice Webinar page for sessions such as “Predictive Maintenance Techniques” by Andy Rodes from SEMEQ. eMaint CMMS has a unique integrate with SEMEQ, a Predictive Maintenance (PdM) service provider that specializes in the utilization of condition-based monitoring instrumentation, techniques and technologies.