Asset Management
Enterprise Computerized Maintenance Management Systems (CMMS), are data silos and can be expensive to maintain, especially when maintenance services are outsourced. The application of inter-corporate business process improvement, using Software-as-a-Service, and IoT enabling technologies like RFID or QR code asset tags, mobile field service applications, and collaborative services delivery will streamline these business processes to reduce administrative and operational costs. Real-time access and update of asset service records and documentation improves operational efficiency, and cost avoidance.
Run to Failure (RTF) is essentially a “no maintenance program” scenario.
While this should never occur with most assets, in a few instances it may be practical for smaller assets such as bathroom exhaust fans (other than a PM frequency to clean the grill).
Corrective Maintenance (CR) is a reactive form of maintenance i.e. an asset fails, and the repair or replacement is initiated.
Preventative Maintenance (PM) is a proactive form of maintenance usually aligned with a time frame cycle such as monthly, quarterly, etc. or in some cases may be tied to run time in operating hours.
The third proactive level also proactive is referred to Predictive Maintenance (PdM) and is tied to actual performance of the asset at that moment of inspection i.e. through vibration analysis, IR scans, etc. While this is helpful, the data is only as accurate as the last moment of testing; the asset could fail post PdM.
Perhaps the most effective and efficient form of proactive maintenance is called Condition Based Maintenance (CBM). This form of maintenance measures the condition of the asset in real time; it operates in a continuous commissioning mode i.e. the asset receives maintenance based on its current operating performance versus initiating preventative maintenance requests based upon pre-set time frame. This is extremely helpful for those building assets which are business continuity essential.
Video Analytics
Intelligence through algorithms & object recognition have been applied to objects within the field of view of cameras, enabling the Remote Monitoring Programs (RMP) to detect and anticipate potential movements.
