An LLM-agent layer wraps a standard inventory transshipment MIP to produce role-aware, explainable supply chain plans, demonstrated on a constructed five-DC stockout scenario.
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Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study
An LLM-agent layer wraps a standard inventory transshipment MIP to produce role-aware, explainable supply chain plans, demonstrated on a constructed five-DC stockout scenario.