...信息的流动速度，在最短的时间内、用最低的成本、为 客户提供最好的产品或服务的技术称为需求链优化（Demand Chain Optimization ， DCO），是DCM的关键技术之一。
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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.
在对供应链中需求、运输、库存、产品生产分析的基础上，提出了一种解决厂家供应链整体优化的随机线性规划模型。
On the basis of analyzing in the demand, transport, inventory and production in supply chain, the paper puts forward a random linear planning model solving supply chain optimization.
从决策者的有限理性角度，研究了模糊随机需求环境下的集成供应链(ISC)库存优化问题。
From the viewpoint of decision-makers bounded rational, this paper discusses inventory optimization of integrated supply chain (isc) with fuzzy and stochastic demands.
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