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Supply Chain Analytics: A Data-Driven Approach

Sanabria, Elioth
arXiv (All) · Papers
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90b0690c15g-1-6g-3machine-learningoptimization-and-control
Modern supply chain networks increasingly rely on real-time data to navigate structural uncertainties, market volatility, and operational disruptions. This manuscript bridges the gap between statistical data-driven learning and robust decision-making frameworks in logistics and operations management
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