Unplanned downtime and rising maintenance costs can put significant strain on industrial businesses. To maintain efficiency and stay competitive, companies must embrace modern maintenance strategies that reduce operational disruptions and extend machinery lifespans.
The global maintenance, repair, and operations (MRO) market is set to reach $701.3 billion by 2026, with key drivers of downtime including aging equipment, mechanical breakdowns, user errors, and ineffective maintenance planning. Proactively addressing these challenges can significantly cut costs and improve ROI.
A low-maintenance equipment approach is one solution. For example, ultrasonic clamp-on meters lack moving parts, preventing mechanical wear and reducing servicing needs—offering long-term maintenance savings.
Another strategy is preventive maintenance (PM), which 76% of global manufacturers use to preemptively detect equipment issues and avoid unexpected breakdowns. While effective, PM can increase costs and varies in effectiveness based on machinery type.
For an even more cost-efficient solution, companies are turning to predictive maintenance (PdM). This AI-powered method analyzes real-time equipment data to predict when servicing is necessary. Currently used by 41% of manufacturers, PdM cuts maintenance costs by 8% to 12%, according to the U.S. Department of Energy.
With predictive maintenance, companies can reduce unnecessary maintenance expenses while preventing costly failures, ensuring maximum uptime and efficiency.
By integrating low-maintenance technology, predictive analytics, and preventive servicing strategies, industrial businesses can reduce costs, improve productivity, and extend equipment lifespans.
For more details on industrial maintenance solutions, explore the accompanying resource courtesy of Emerson.
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