Empirical Analysis and Warning Model of Logistics Package Damage Based on Rough Set & ANN

摘要：

Based on data from manufacturer and method of empirical analysis, this paper address problem of outer package damage and try to use rough set theory to trace reason of causing damage. After attribute reduction of decision table, 14 rules are generated, which try to show inherent law of damage rate improvement. In the end of the paper, the authors build a warning model of artificial neural network to remind relative manufacturers to take measure to solve problem in advanced.

作者: Dengfeng Wu Ying Zhang

作者单位: Business School JiuJiang University, Jiujiang, JiangXi, 332005,China Foreign Language School,JiuJiang University, Jiujiang, JiangXi, 332005,China

会议类型: 国际会议

会议名称: The Third International Conference on Operations and Supply Chain Management(第三届运营与供应链管理国际会议)

会议地点: 武汉

会议语种:英文

页码: 586-591

在线出版日期: 2009-07-28（万方平台首次上网日期，不代表论文的发表时间）