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OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

Liu, Shuze Daniel et al.
arXiv (All) · Papers
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machine-learning
Modern supply chain operations can require coordinating replenishment across thousands of heterogeneous items under correlated stochastic demand, heterogeneous lead times, and shared fixed ordering costs, yielding observation spaces exceeding $10^4$ dimensions. At this scale, rolling-horizon stochas
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