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.
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。
A simulation model of inventory system is set up through turning the stochastic and uncontrolled demand control problem into the method of setting up safe inventory.
该文首先通过将随机的、不可控的需求控制问题转化为安全库存设置问题的方法，建立了库存系统的仿真模型。
By using a concept of adaptive expected output and modern control theory, a dynamic adaptive Cournot model, which the inverse demand curve function is nonlinear in the market, is established.
本文通过引入自适应期望产量的概念，利用现代控制工程理论建立了市场非线性反需求函数下的自适应动态古诺模型。
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