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robust-optimization

topic1 events
papersSEP 11 04:00 UTC

arXiv Paper Proposes Data-Driven Framework for Supply Chain Decision-Making

A new arXiv preprint describes an approach that combines statistical learning from data with robust decision-making for supply chain networks. The work targets structural uncertainty, market volatility, and operational disruptions that modern supply chains face, and aims to connect data-driven methods with practical decision support. It is an announcement of a cross-listed machine learning paper rather than a released product.

arxiv/supply-chain/research/decision-making