关键词: 供应链管理, 库存控制, 强化学习, 半马氏过程

Abstract: In the networked manufacturing environment, the geographical dispersal of supply chains, and the stochastic demands of the markets increase the complexity of the system. In this paper, reinforcement learning and semi-Markov process were applied to inventory control of supply chain management ranged among regions with different production costs. The inventory decision under stochastic demands was analyzed. The simulation result showed that the proposed method is promising.

Key words: supply chain management, inventory control, reinforcement learning, semi-Markov process