A review proposes a four-part functional taxonomy of ML-enhanced adaptive manufacturing control and analyzes where generative models fit, identifying gaps and future research directions.
Atransformer-baseddeepreinforcement learningapproachfordynamicparallelmachinescheduling problem with family setups
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Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
A review proposes a four-part functional taxonomy of ML-enhanced adaptive manufacturing control and analyzes where generative models fit, identifying gaps and future research directions.