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
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;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630655