基于频繁子树挖掘的供应链优化方法  

Optimized of Supply Chain Management Based on Frequent Subtree Mining

作　　者：高鹏[1] 鲍新中[1] 王道平[1] 

机构地区：[1]北京科技大学经济管理学院

出　　处：《中国市场》2008年第36期92-94,共3页China Market

摘　　要：对绝大多数厂商来说,其成败的关键在于其产品是否能通过自身的营销渠道和供应链系统得到有效和快速的销售。因此,营销渠道的供应链管理对市场竞争来说至关重要。由于企业的供应链系统可以近似地用树结构来表示,本文提出了一种新的基于频繁子树挖掘的供应链管理优化策略,并以鄂尔多斯集团的真实销售与物流数据为例,说明了本文提出的方法。For most manufacturers, success or failure is determined by how effectively and efficiently their products are sold through their marketing channel members and their supply chain, so the management of supply chain plays an important role in market competition. Recently, with the increase of amount of sales data, how to enhance the supply chain quantitatively is significant. As the supply chain can be viewed as a tree, in this paper, an optimized method supply chain management based on frequent subtree mining is proposed. The proposed method is illustrated under the real-world sales data in ERDOS group.

关 键 词：供应链管理 频繁子树 TreeMiner算法 

分 类 号：F274[经济管理—企业管理]