Uncertainties inherent in customer demands make it difficult for supply chains to achieve JIT inventory replenishment, resulting in loosing sales opportunities or keeping excessive chain-wide inventories. In this paper, we propose a inventory-control model for a supply chain through using a reinforcement learning technique, the control parameters are designed to change as customer demand patterns changes, A simulation-based experiment was performed to investigate the performance of the inventory control model.
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