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
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
相关论文
共 50 条
[31]   Game Analysis on Problem of Food Safety in the Agricultural Products Supply Chain [J].
Shi, Chenghua ;
Sun, Zilai ;
Dong, Kunjing .
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2, 2010, :1040-+
[32]   Partner selection and production-distribution planning for optimal supply chain formation [J].
Mak, K. L. ;
Su, W. .
WORLD CONGRESS ON ENGINEERING 2007, VOLS 1 AND 2, 2007, :1123-+
[33]   Research on Partner Selection Issue of Manufacturing Enterprise under Supply Chain Environment [J].
Zhang, Hong ;
Guo, Feipeng .
EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, 2011, 237 :230-238
[34]   Environmental management partner selection for reverse supply chain collaboration: A sustainable approach [J].
Govindanan, Kannan ;
Jha, P. C. ;
Agarwal, Vernika ;
Darbari, Jyoti Dhingra .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 236 :784-797
[35]   Research on Financial Risk Management of Automobile Supply Chain Based on Data Mining Technology [J].
Chen, Zi-Gui ;
Guan, Shi-Ping .
PROCEEDINGS OF THE 3RD ANNUAL 2017 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2017), 2017, 50 :94-96
[36]   The Application of Data Mining Technology in the Quality and Security of Agricultural Products [J].
Li, Huaqin ;
Luo, Ying .
PIAGENG 2013: INTELLIGENT INFORMATION, CONTROL, AND COMMUNICATION TECHNOLOGY FOR AGRICULTURAL ENGINEERING, 2013, 8762
[37]   Hyperspectral image data mining for band selection in agricultural applications [J].
Bajwa, SG ;
Bajcsy, P ;
Groves, P ;
Tian, LE .
TRANSACTIONS OF THE ASAE, 2004, 47 (03) :895-907
[38]   A Framework for Modeling Efficient Demand Forecasting Using Data Mining in Supply Chain of Food Products Export Industry [J].
Holimchayachotikul, Pongsak ;
Phanruangrong, Nuanlaor .
PROCEEDINGS OF THE 6TH CIRP-SPONSORED INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY, 2010, 66 :1387-+
[39]   The Effects of FC and CSR on Bilateral Quality Efforts of Agricultural Products Supply Chain [J].
Qin, Yanhong ;
Zhang, Bing ;
Xiang, Lin .
SUSTAINABILITY, 2023, 15 (19)
[40]   Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach [J].
Zhong, Shuqi ;
Zhang, Jinxin ;
He, Xiaojun ;
Liu, Sen .
PLOS ONE, 2022, 17 (09)