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。
Considering the uncertainty of network model and time variability of network parameters, a fuzzy control active queue management algorithm based on input rate and queue variance is proposed.
针对网络模型的不确定性和参数的时变性，该文提出了一种基于输入速率和队列长度变化的模糊控制主动队列管理算法。
Model predictive control is applied to solve dynamic optimization of the inventory in supply chain management according to the demand uncertainty.
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。
Enterprises are now exploring a new and effective management model to face demand uncertainty and violent market competition.
面对需求不确定性的不断增强和日益激烈的市场竞争环境，企业不断探索有效的新型管理模式。
Enterprises are now exploring a new and effective management model to face demand uncertainty and violent market competition.
面对需求不确定性的不断增强和日益激烈的市场竞争环境，企业不断探索有效的新型管理模式。
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