Abstract
Complicated index system and unscientific index weights setting can’t adapt the goal of supply chain integration for partner selection. To solve these problems, a comprehensive evaluation index system is established in this paper. Secondly, PCA is used to reduce multiple indicators into a few principal components, yet retaining effective evaluation information. Finally, a partner evaluation model based on improved BP neural network which has self-learning function is constructed. The empirical analysis based on a garment enterprise shows that this model is effective and feasible.
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Zhang, H., Guo, F. (2011). Research on Partner Selection Issue of Manufacturing Enterprise under Supply Chain Environment. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_31
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DOI: https://doi.org/10.1007/978-3-642-24282-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24281-6
Online ISBN: 978-3-642-24282-3
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