Learning from Data to Simplify Supply Chain Network Design

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Summary:
Strategic supply chain network design becomes computationally intractable due to combinatorial complexity in large-scale models. Machine learning offers systematic simplification through techniques like clustering and aggregation, while the core challenge lies in balancing abstraction with optimization performance and decision quality.

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