A Clustering Algorithm FCM-ACO for Supplier Base Management

摘要：

Supplier selection is one of the critical components of supply chain management and has played a very important role to improve the competitiveness of the entire supply chain. Successful supplier selection may have significant business implications, while how to determine the suitable suppliers is a complex decision making problem which includes both qualitative and quantitative factors. Therefore, this paper proposes a novel approach that combines the fuzzy c-means (FCM) algorithm with ant colony optimization (ACO) algorithm to cluster suppliers into manageable smaller groups with similar characteristics. The simulation results show that the proposed method improves the performance of FCM algorithm for it is less sensitive to local extreme.

关键词： fuzzy clustering ACO supplier base management clustering supplier

作者: Weining Liu Lei Jiang

作者单位: School of computer science Chongqing University Chongqing China 400030

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 106-113

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）