Hybrid-LWM: A linear-model based hybrid clustering algorithm for supplier categorisation

Authors:
Danish Irfan/ Deng Shengchun/ Xu Xiaofei
Affiliations:
Harbin Institute of Technology, School of Computer Science and Technology, P.O. Box #315, HIT, No. 92, West Dazhi Street, Nangang District, Harbin 150001, China.
Venue:
International Journal of Systems, Control and Communications
Year:
2011

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Abstract

Supplier categorisation is a key step in Supplier Base Management (SBM), which is considered as a business strategy to reduce the logistic costs and improve business performance. In this work, we present projected clustering-based algorithm combined with Linear Weighted Model (LWM) for categorisation of suppliers in supply base management. We applied this hybrid approach for data set of suppliers in a supplier base.