| 零售业逆向物流管理中的数据挖掘技术研究 |
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| 引用本文： | 李小波,方晓平.零售业逆向物流管理中的数据挖掘技术研究[J].物流科技,2007,30(9):110-112. |
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| 作者姓名： | 李小波 方晓平 |
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| 作者单位： | 中南大学,湖南,长沙,410075 |
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| 摘 要： | 数据挖掘可以从海量数据中提取有用的知识。本文针对来自零售业逆向物流系统的数据数量大且更新速度快的特点，运用统计分析方法，研究数据挖掘在这一领域的具体应用，为零售企业提供了一种在产品质量上对供应商进行评估的方法。
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| 关 键 词： | 数据挖掘 逆向物流 供应商评估 |
| 文章编号： | 1002-3100（2007）09-0110-03 |
| 收稿时间： | 2007-01-31 |
| 修稿时间： | 2007-01-31 |
The Research on Data Mining in the Reverse Logistics Management of Retail Industry |
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| LI Xiao-bo,FANG Xiao-ping.The Research on Data Mining in the Reverse Logistics Management of Retail Industry[J].Logistics Management,2007,30(9):110-112. |
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| Authors: | LI Xiao-bo FANG Xiao-ping |
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| Institution: | Central South University, Changsha 410075, China |
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| Abstract: | By data mining,we may acquire some useful knowledge from iarge amounts of data.There is plenty
of data in the reverse logistics system of retail industry,and it updates frequently.Based on the two characteristics.the authors make a research on the concrete application of data mining
in this field with the method of statistics,and further provide a method of supplier evaluation about the quality of goods for retail enterprises. |
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| Keywords: | data minings reverse logistics supplier evaluation |
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