In modern supply chain management,order decision-making is particularly critical under uncertain demand.This study addressed this issue by proposing a two-stage distributionally robust optimization model to mitigate the risks brought about by market demand fluctuations.The model is approximated using linear decision rules and extended linear rules,and its effectiveness is validated through numerical experiments.The innovation of this study lies in the construction of a multi-product inventory management model and its solution method,thereby providing a new approach to optimizing order decisions under uncertain demand conditions.
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