Research on Partner Selection Issue of Manufacturing Enterprise under Supply Chain Environment

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.