Predictive Maintenance

Challenge

Rigid time-based maintenance schedules lead to either unnecessary maintenance or unexpected breakdowns.

YAIFA Solution

YAIFA evaluates maintenance logs (documents) together with live vibration or temperature data (sensors). The agent accesses machine data and fault records, generating a maintenance forecast. The AI suggests maintenance appointments based on the actual condition of the machine rather than rigid time intervals.

Your Benefit

Drastically reduced unplanned downtime, optimized maintenance scheduling, and extended equipment lifespan.

Multi-Agent System Perspective

Maintenance agents can coordinate with production planning agents in a MAS to schedule maintenance during optimal production windows.