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Big Data-Driven Production Scheduling Risk Identification Using a Lightweight Adaptive Graph Attention Network.

The advancement of Industry 4.0 and smart manufacturing has led to the generation of high-volume, multisource data that evolve in real-time within production scheduling systems. This poses significant challenges to traditional risk identification methods. Models that ignore topological relationships lack robustness whe...

Peng Dong, Ge Han, Lu-Wen Yuan · 0 citations

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