Continuous-Review Policies for a Multi-Echelon Inventory Problem with Stochastic Demand
研究多层级串行库存系统，在随机需求下寻找最小化期望平均成本的连续盘点库存控制策略，提出了近似成本模型并得到策略。
This paper considers a multi-stage, serial inventory system. The demand for the end item is stochastic and stationary. The relevant costs include a fixed ordering cost and an echelon inventory holding cost for each stage, and a backordering cost for the end item. The objective is to find a continuous-review inventory control policy that minimizes the expected average costs. We present and analyze an approximate cost model. Our approximation is analogous to that for the traditional single-item, continuous-review inventory model that assumes a reorder-point, reorder-quantity policy. We obtain policies that are natural extensions to those for the single-item model.