研究了随机且可控提前期情况下“库存补货与运输排程”(SRSS)的时基补货发货策略,在“允许缺货,缺货不补”的传统假设基础上,结合使用随机过程更新理论和优化方法,建立了扩展模型;使用仿真方法跟踪了优化策略的长期执行效果,以验证模型有效性.
This paper focuses on a time-based replenishment and dispatching policy for Stock Replenishment and Shipment Scheduling (SRSS) with stochastic and controllable lead time. Shortage is allowed but not backlogged. Utilizing the renewal theory, the extended analytical model is proposed through cost analysis. Besides, a simulating program is developed to track the long-run implementing effect of the optimal policy so as to validate the proposed model.