Queue control using a historically developed stochastic model
应用随机模型确定最优平均计划队列水平，以最小化队列同时确保工作中心空闲时间概率不超过管理设定的阈值，有助于控制在制品库存和估算提前期。
Abstract This paper applies a stochastic model to determine the optimal or ideal average planned queue level. The ideal average planned queue level is defined to be the minimum average queue level necessary to ensure that in the long run the probability of work center idle time over a specified planning horizon is no greater than some value α chosen by management. Also discussed is the usefulness of the ideal planned queue level, not only for controlling work‐in‐process inventories, but also for obtaining better work center lead time estimates.