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Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories
Researchers developed a deep reinforcement learning model to optimize factory scheduling by accounting for specific time-lag constraints in modular construction.
Impact
20/100
Current rank score
10.48
Source tier
Tier 1
Category
Research
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