ORLA combines LLM-generated MIP formulations with solver verification and learning-based selection to improve multi-warehouse inventory allocation accuracy by 4.5 percentage points on 29 JD.com production batches.
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Solver-Verified Formulation Generation and Selection for Multi-Warehouse Inventory Allocation Using Large Language Models
ORLA combines LLM-generated MIP formulations with solver verification and learning-based selection to improve multi-warehouse inventory allocation accuracy by 4.5 percentage points on 29 JD.com production batches.