Key points are not available for this paper at this time.
Uncertainties inherent in customer demands make it difficult for mobile 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 mobile 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.
Li et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: