A lack of transparency makes it difficult to identify which machines cause the most breaks and how break behavior impacts overall machine uptime and availability. Without structured analysis, break‑related losses and performance variations remain hidden, slowing down optimization efforts.
The Breaks Monitor for POY / DTY of atmos.io provides a clear, data‑driven view of all break events and their contribution to machine downtime.
Breaks and machine downtime are visualized and can be filtered by time period, product, and production area. Machines contributing most to downtime are highlighted, enabling quick prioritization of improvement actions.
Advanced KPIs—such as breaks per ton, total breaks, and downtime impact—focus attention on the most critical issues, supporting both short‑term operational control and long‑term performance evaluation.