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...