Building maintenance is a significant expense for most facilities, typically using around 35 percent of a facility’s operating budget, almost as much as utilities (38 percent) and more than janitorial services (27 percent). As a result, having an efficient and cost-effective maintenance program building that keeps equipment operating as close as possible to peak performance should be a high priority for any building owner.
Unfortunately, that’s usually not the case. Most building owners (55 percent) use reactive maintenance, simply waiting for the equipment to fail before taking any action, resulting in increased costs for equipment replacement and labor. About 31 percent of building operators use a preventive maintenance program, where maintenance inspections are performed at specified intervals, similar to having the oil changed in your car every 3 months or 3,000 miles. Compared to reactive maintenance, facilities can save up to 18 percent with preventive maintenance but that still leaves room for improvement.
The most effective strategy to maintain equipment is predictive maintenance. With this approach, maintenance is performed based on the actual condition of the equipment, rather than using the one-size-fits-approach of preventive maintenance. That’s because predictive maintenance analyzes data provided by sensors to actually anticipate potential problems and proactively schedule maintenance.
The benefits are many. Predictive maintenance can reduce energy and maintenance costs by up to 30 percent according to the DOE. Mechanical breakdowns can be reduced or eliminated, which minimizes downtime and increases productivity. And because only 12 percent of commercial buildings in the U.S. employ predictive maintenance, the opportunities for saving energy and lowering maintenance costs are significant for building owners with the foresight to embrace this technology.
Enterprise Solutions is an innovator in predictive maintenance services. Our industry-leading IoT platform uses strategically placed sensors to create a building management network that captures and shares real-time data automatically and then performs analytics to identify potential maintenance problems. For more information, please email email@example.com