Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems
A transport-network-aware dynamic congestion representation that serves as costs in a risk-constrained route-scheduling rule that minimizes predicted delivery time subject to a bound on extreme-congestion probability, embedding the learned predictors within a lightweight operations-research decision model.
Hao Yin, Mei-Qi Tu, An-Bang Liu et al.
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