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基于BP神经网络的供应链绩效评价模型
引用本文:林丽红,李锦飞.基于BP神经网络的供应链绩效评价模型[J].江苏大学学报(社会科学版),2005,7(3):84-87.
作者姓名:林丽红  李锦飞
作者单位:江苏大学,工商管理学院,江苏,镇江,212013
摘    要:应用平衡计分卡理论为供应链绩效建立平衡计分卡,可以从财务,客户满意度,内部业务流程,学习、成长性四个方面构建供应链绩效评价指标体系。利用BP神经网络建立供应链绩效评价模型,该模型能较好地避免传统方法人为选取权值和相关系数过程中的主观性和不确定性。

关 键 词:供应链  绩效评价  平衡计分卡  BP神经网络
文章编号:1671-6604(2005)03-0084-04
修稿时间:2004年9月7日

An Evaluation Model for Supply Chain Performance Based on BP Neural Network
Lin Li-hong,LI Jin-fei.An Evaluation Model for Supply Chain Performance Based on BP Neural Network[J].Journal Of Jiangsu University:Social Science Edition,2005,7(3):84-87.
Authors:Lin Li-hong  LI Jin-fei
Abstract:A balanced scorecard of supply chain performance is created in light of the theory of balanced scorecard so that the performance of a supply chain can be evaluated according to its finance, customer satisfaction, internal process, and learning and growth. The new evaluation model based on BP Neural Network can be immune from the inherent subjectivity and uncertainty of traditional methods with respect to value and coeffient.
Keywords:supply chain  performance evaluation  BP Neural Network  balanced scorecard  
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