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Partner selection of agricultural products supply chain based on data mining
Author(s) -
He Xuefeng,
Ai Xingzheng,
Jing Yuewu,
Liu Yuanyuan
Publication year - 2015
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3625
Subject(s) - supply chain , business , competition (biology) , industrial organization , agriculture , supply chain risk management , supply chain management , selection (genetic algorithm) , service management , marketing , computer science , ecology , artificial intelligence , biology
Summary 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 © 2015 John Wiley & Sons, Ltd.