Case Study: a leading manufacturing company boosts OEE and cuts downtime with Webee machine health monitoring

Leading Manufacturing Company - Customer Case Study

Leading Manufacturing Company, a consumer packaged goods manufacturer, was struggling with costly and inefficient manual maintenance checks on its critical rotating machinery, which resulted in a low 75% overall equipment effectiveness (OEE) rating. Their attempt to implement a wired monitoring system failed to deliver a clear return on investment. They needed a new, agile solution to monitor machine health in real-time, predict breakdowns, and move from reactive to predictive maintenance.

Webee implemented a wireless, non-intrusive solution using LoRaWAN sensors to monitor key variables like vibration, temperature, and energy consumption in real-time. Their no-code platform provided customizable dashboards, alerts via SMS and email, and AI-powered anomaly detection. This allowed the client to shift to a predictive maintenance model. As a result, Webee helped Leading Manufacturing Company increase its OEE by 16% to 87%, avoid up to $2 million in daily downtime losses, and save $45,000 annually in maintenance costs per machine.