DocumentCode
2907921
Title
Feature-based unsupervised clustering for supplier categorization
Author
Irfan, Danish ; Xiaofei, Xu ; Shengchun, Deng ; Yunming, Ye
Author_Institution
Sch. of Comput. Sci. & Eng., Harbin Inst. of Technol., Harbin
fYear
2008
fDate
1-6 June 2008
Firstpage
2072
Lastpage
2076
Abstract
This paper outlines the feature-based unsupervised clustering for supplier categorization. Traditionally, when categorizing suppliers, companies have considered factors such as price, quality, flexibility etc. An enterprise is considered for design and manufacture with the objective of acquiring & developing a sophisticated technological base for systems and enlarging & expanding production of components. In this scenario, our intuition lies in supplier categorization based upon the selected features of suppliers. Lastly, we present results of segmentation of supplier data.
Keywords
information technology; manufacturing data processing; pattern clustering; supply chain management; feature-based unsupervised clustering; supplier categorization; supplier data segmentation; Clustering methods; Companies; Computer science; Costs; Data envelopment analysis; Information technology; Manufacturing; Performance analysis; Production systems; Research and development;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1098-7584
Print_ISBN
978-1-4244-1818-3
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2008.4630655
Filename
4630655
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