If you’re repairing devices when they’re down, you’re too late.
When devices and equipment fail, customers notice. Whether it’s the hot water heater at the hotel or the soda fountain at the gas station, downtime is frustrating to the end-users and costly for businesses. Reliable technicians are in short supply and when a failure occurs, finding and deploying a technician to fix the problem can cost thousands.
When companies are operating smoothly and it’s time for scheduled maintenance, they often end up spending thousands of dollars on technicians just to confirm what they already know.
While replacing hardware before it’s actually needed is preferable to waiting for it to fail, it also means wasting the lifespan of expensive parts. If a company has only 10 devices, the cost of unnecessary or early repairs may not be substantial. However, when there are hundreds or even tens of thousands of devices incurring these costs, it has a significant impact on the company’s bottom line.
With predictive maintenance you can:
- Extend the life of your hardware
- Detect issues before they lead to downtime
- Control costs with remote repair
Predictive maintenance uses data analysis tool to detect anomalies in the function of devices, and lets you troubleshoot before emergencies strike. When you can monitor performance in real time, you can skip routine visits while still avoiding catastrophes associated with an unexpected issue.
Predictive maintenance can also help you extend the life of your equipment. By identifying potential issues before they become major problems, you can take action to address them before they cause irreparable damage. This can extend the life of equipment, therefore reducing the need for costly replacements.
Combining these benefits is how the U.S Department of Energy determined that predictive maintenance can save up to 40% in operating costs this year.