以三级多产品双渠道供应链为例，探讨了在随机需求下的供应链库存控制问题。研究建立了一个以“单制造商-双分销商-双零售商-双客户”为基础的独立控制、信息共享及前置仓补货模式的双渠道供应链仿真模型。在节点企业中，采用了Pull/Push策略进行订货决策，并利用信息熵来衡量节点的不确定性。最后，使用鲸鱼优化算法来调整仿真模型中的库存控制参数。结果显示，在中断情况下，前置仓补货模式能够将中断渠道客户满意度提高80%。而鲸鱼优化算法则能在保证客户满意度的同时，控制总成本，降低供应链系统的不确定性。

Taking a three-level, multi product, and dual channel supply chain as an example, the inventory control problem in the supply chain under stochastic demand was explored. A dual channel supply chain simulation model was established based on the independent control, information sharing, and pre warehouse replenishment model of "single manufacturer-dual distributor-dual retailer-dual customer". In node enterprises, the Pull/Push strategy was adopted for ordering decisions, and information entropy was used to measure the uncertainty of nodes. Finally, the whale optimization algorithm was used to adjust the inventory control parameters in the simulation model. The results show that in the case of interruption, the pre warehouse replenishment mode can increase customer satisfaction in the interrupted channel by 80%. The whale optimization algorithm can ensure customer satisfaction while controlling total costs and reducing uncertainty in the supply chain system.