Reinforcement Learning in der Produktionssteuerung/Reinforcement Learning for production control

Due to the high complexity of processes, production control represents a key challenge for manufacturing companies. In this regard, the automation of planning and control tasks using algorithms is becoming increasingly important. Reinforcement Learning methods offer promising potential to address these challenges. This article compares Reinforcement Learning methods with exact and metaheuristic algorithms in order to evaluate the limits of application and competitiveness of learning-based methods in their current state of development.