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Home > Case Studies > Data-Driven Reliability: The Future of Equipment Maintenance
With predictive monitoring, subtle performance changes become apparent, prompting deeper analysis and a more comprehensive understanding of equipment health. Across Anchor’s five facilities in Oklahoma, Minnesota, Indiana, New York, and Georgia, environmental factors such as temperature and humidity vary significantly which can make traditional monitoring challenging, increasing the value of continuous monitoring. In addition, by comparing data across locations, teams can identify process inefficiencies rather than focusing solely on asset malfunctions to optimize workflows.
In our pilot, there were two distinct saves, avoiding about $200,000 worth of downtime—not to mention the impact on production and recovery time.
Rex Hook
Senior Reliability Manager
Anchor Glass
The key to long-term operational success is understanding and responding to equipment needs before failures occur. By shifting to predictive maintenance, manufacturers can minimize downtime, improve efficiency, and create safer work environments. As technology continues to evolve, integrating data-driven insights with hands-on expertise will be essential for staying competitive. The future of maintenance isn’t just about fixing problems—it’s about preventing them.
Learn more about gaining a competitive edge with the most advanced, comprehensive machine health optimization platform.