Abstract
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.
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Liu, W., Jiang, L. (2010). A Clustering Algorithm FCM-ACO for Supplier Base Management. In: Cao, L., Feng, Y., Zhong, J. (eds) Advanced Data Mining and Applications. ADMA 2010. Lecture Notes in Computer Science(), vol 6440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17316-5_10
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DOI: https://doi.org/10.1007/978-3-642-17316-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17315-8
Online ISBN: 978-3-642-17316-5
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