DocumentCode :
1878348
Title :
A Novel Approach to Find Patterns of Supplier
Author :
Xu, Xu ; Lin, Jie
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
fYear :
2009
fDate :
27-29 May 2009
Firstpage :
231
Lastpage :
236
Abstract :
Supplier selection and evaluation are one of the most critical activities of a company in today´s competitive business world. Partnering with the suppliers has become a key factor to the success of an organization. The selection of supplier, satisfying different evaluation criteria, is therefore of main importance and builds the topic of this paper. This selection process is a difficult decision and optimization problem, such as data mining technology. This paper utilizes an integrated approach to find the interesting pattern of supplier. This research has employed a numerical example for the explanation of the proposed approach, and the results show that the method is effective and applicable for supplier selection. In short, the approach provides a new route to guide the further research concerning supplier research.
Keywords :
business data processing; data mining; decision making; optimisation; competitive business; data mining; decision problem; optimization problem; supplier evaluation; supplier selection; Artificial intelligence; Companies; Competitive intelligence; Computer network management; Conference management; Data envelopment analysis; Engineering management; Expert systems; Intelligent networks; Software engineering; association rule; data mining; fuzzy set theory; optimization; pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
Conference_Location :
Daegu
Print_ISBN :
978-0-7695-3642-2
Type :
conf
DOI :
10.1109/SNPD.2009.21
Filename :
5286662
Link To Document :
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