针对网络化制造环境下供应链需求不确定的特点，采用模型预测控制技术解决供应链管理中库存的动态优化问题。
Model predictive control was applied to solve the dynamic optimization problems of the inventory in supply chain management for the demand uncertainty of supply chain under networked manufacturing.
最后，仿真结果表明，模型预测控制技术在预测合理库存水平以及控制动态、不确定的供应链系统是可行的。
Finally, the feasibility of model predictive control can forecast reasonable inventory level and control dynamic and uncertainty supply chain system are shown by the simulation results.
针对供应链网络需求不确定的特点，采用模型预测控制技术解决供应链管理中库存的动态优化问题。
Model predictive control is applied to solve dynamic optimization of the inventory in supply chain management according to the demand uncertainty.
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