AI-Driven Flexible Maintenance Scheduling
This AI solution uses advanced AI—reinforcement learning, evolutionary algorithms, LLMs, and agentic planners—to dynamically schedule production jobs and maintenance activities across complex manufacturing systems. By optimizing for machine health, worker fatigue, sustainability, and throughput in real time, it reduces unplanned downtime and energy use while increasing on-time delivery and overall equipment effectiveness.
The Problem
“Real-time co-optimization of production and maintenance under health, labor, and energy constraints”
Organizations face these key challenges:
1
Preventive maintenance windows get skipped or collide with urgent orders, triggering breakdowns later
2
Schedulers spend hours re-planning after line stops, material delays, or labor shortages