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BP神经网络预测在流程企业供应链中的应用研究 被引量:10

Research on application of BP-ANN forecast in process supply chain
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摘要 本文针对流程制造企业的管理模式和相应的供应链特点,采用多智能体技术建立基于预测的流程供应链模型。在比较预测方法的基础上,采用BP神经网络技术建立客户分销的预测支持系统,并采用某造纸流程企业的周销量件数进行了实例预测仿真。 Firstly this paper analyzes the features of enterprise management and supply chain in process industry, then a forecast based process supply chain model is proposed by multi-agent technology. Comparisons among several kinds of forecast method are made and then BP-ANN technology is used to build the customer & retailer forecasting system. In addition, a forecasting simulation is done with the paper week selling data in one paper mill.
出处 《运筹与管理》 CSCD 2003年第5期57-61,共5页 Operations Research and Management Science
基金 国家863基金资助项目(2001AA414240)
关键词 流程制造企业 企业管理 供应链管理 多智能体 BP神经网络 经济预测 process supply chain BP neural network multi-agent forecast
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参考文献5

  • 1周林洋.工业企业新产品开发供应链管理研究(1)——新产品开发供应链管理的基本概念[J].石油化工技术经济,2000,16(4):56-62. 被引量:1
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