DocumentCode :
3476896
Title :
Optimize E-Commerce Supply Chain Based on the Fuzzy Clustering Analysis
Author :
Meng, Wanhua
Author_Institution :
Shaoxing Arts & Sci. Coll., Shaoxing
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
2535
Lastpage :
2539
Abstract :
Performance evaluation of supply chain is a newly sprung up research field, and especially the performance evaluation of the e-commerce supply chain is sure to be a new trend in this field. The paper, based on the fuzzy theory, establishes a model of performance evaluation of fuzzy unity, which makes full use of fuzzy clustering analysis to classify and evaluate multiple e-commerce supply chains. And then the paper shows how to apply the evaluation method by giving a sample of analysis. The paper tries to put forward an evaluation method combining the quantitative and qualitative analysis to optimize e-commerce supply chains.
Keywords :
electronic commerce; fuzzy set theory; pattern clustering; statistical analysis; supply chains; e-commerce supply chain; fuzzy clustering analysis; fuzzy theory; fuzzy unity; Automation; Business communication; Costs; Information technology; Logistics; Manufacturing; Marketing and sales; Performance analysis; Supply chain management; Supply chains; E-Commerce; Fuzzy; clustering analysis; performance evaluation; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4339006
Filename :
4339006
Link To Document :
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