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RL Techniques in Production Planning by Sandra is a document available to read on EtoBox.

This paper reviews the application of reinforcement learning (RL) techniques in production planning and control (PPC), focusing on areas such as resource planning, capacity planning, and production scheduling. The study analyzes 181 articles, revealing that RL is primarily used for production scheduling and shows promising results compared to traditional methods, particularly in uncertain environments. Key findings include the prevalence of model-free, single-agent RL algorithms, with value-based approaches

Author

Sandra

Language

EN