Discover how a leading EV manufacturer saved $51M by using AI sensors for predictive maintenance, eliminating unplanned downtime without overloading their techs.
Optimize multi-site maintenance with predictive tools. Standardize processes, reduce costs, and enhance asset performance with a scalable, ROI-driven approach.
Early vibration detection at a beverage facility saved $240K and avoided 24 hours of downtime by quickly addressing mechanical imbalances.
Quick detection of a bearing defect at a lumber mill saved $48,000 with Waites condition-based monitoring.
As consumer demand grows, facilities must turn to proactive solutions to avoid overuse, reduce risk, and keep operations running smoothly.
Waites' early detection of a gearbox issue saved $83K and 48 hours of downtime.
Discover how predictive maintenance (PdM) and smart budgeting can slash downtime costs and boost operational efficiency in industrial manufacturing.
At a Waites’ customer’s auto plant, the motor on the phosphate sludge filter began showing increasing acceleration and peak-to-peak vibration levels.
Discover how early detection of unbalance in arbor bearing NDE saved a lumber mill $24K and avoided five hours of downtime with predictive maintenance.
Experience the difference precision-engineered, analyst-supported sensor systems can make for your reliability strategy.
Explore the impact of trade uncertainty on supply chains and the role of predictive maintenance in mitigating disruptions and increasing resilience.
Most maintenance programs fall somewhere between reactive and scalable - where's your org?