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What is MINERVA: Smart Scheduling in Factories about?

M INERVA is a reinforcement learning technique that optimally schedules jobs in distributed factory operations and detects bottlenecks. It first uses reinforcement learning to find the optimal scheduling policy. It then uses an artificial neural network classifier to identify the system bottleneck based on metrics observed from simulations. When a bottleneck is identified, M INERVA increases the capacity of that resource by 1 unit and repeats the process until the desired throughput is reached.

Author

wpduarte

Language

EN