Partner selection of agricultural products supply chain based on data mining

被引:11
|
作者
He, Xuefeng [1 ,2 ]
Ai, Xingzheng [1 ]
Jing, Yuewu [3 ]
Liu, Yuanyuan [4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610054, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Management & Econ, Mianyang 621000, Peoples R China
[3] China Acad Engn Phys, Mianyang 621000, Peoples R China
[4] Tianjin Univ Commerce, Tianjin 300134, Peoples R China
来源
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2016年 / 28卷 / 04期
关键词
agricultural products supply chain; partner selection; data mining; CRITERIA;
D O I
10.1002/cpe.3625
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Now, with the development of modern business, the traditional competition between enterprises has been displaced by the competition between supply chains. Any incorrect decision from supply chain member may have negative influences on other members or the whole supply chain. Therefore, choosing the appropriate supply chain partners is quite necessary and significant to the supply chain performance improvement because the partners can share risks and benefits with proper contract. Concentrating on the agricultural products supply chain, the supply chain partner selection model and indexes system are put forward in this paper, the clustering and classification analyses of potential supply chain partners are made by data mining technology, and the empirical analysis is made for agricultural products supply chain. This study may provide some insights into supply chain longitudinal governance and guidance for the Chinese agriculture economic development. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:1246 / 1256
页数:11
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