When Owens Corning’s decades-old ball mill at its Tessenderlo Plant began to fail, Waites’ predictive maintenance system detected the issue before a catastrophic breakdown could occur. The proactive intervention avoided more than 5,300 hours of downtime and over $11 million in potential production losses, repair costs, and labor. By leveraging wireless sensors, AI-driven analytics, and expert analyst support, Owens Corning shifted from reactive repairs to a proactive, standardized maintenance strategy.
This case study highlights how a modest investment in Waites delivered an ROI exceeding 21,000%, reinforcing the power of predictive maintenance in protecting critical assets and driving enterprise-wide operational excellence.
