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Department of Data and Systems Engineering, The Research Center for Digital Production and Smart Logistics, The University of Hong Kong, Tsinghua University, The Univer- sity of Hong Kong
Tsinghua AI3
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Neural Double Q-routing slashes mean completion times by up to 8.8% in complex industrial environments, outperforming traditional methods.
A novel congestion-aware scheduling method reduces delivery times by over 16% in semiconductor fabs without sacrificing throughput.
Coordinated decision-making in supply chains can significantly reduce stockouts and transportation costs, as shown by SCOPE's superior performance over traditional optimization methods.
