基于设备状态监控的单级备件库存系统补货策略研究

In this paper, we combine the spare parts inventory strategies with equipment state monitoring. We use a Markov process to model the probability of equipment's requirement. And the model will transform to newsvendor problem which can get an optimal solve. Then we compare the optimal inventory strategies between static base-stock inventory strategy and dynamic base-stock inventory strategy with equipments monitoring. Compared with the advantages and shortages of two strategies, we provide a new heuristic strategy: dynamic base-stock inventory strategy based on key state monitoring. the reaults show that the shortage cost of dynamic ordering model under state monitoring is the lowest. But the new strategy can reduce the sereach cost to get all equipment's state.