Research of Credit Grade Assessment for Suppliers Based on Multi-Layer SVM Classifier

It is very important to choose swift, powerful and compatible suppliers in supply chain management (SCM). According to the credit grade assessment for suppliers in practice and the related theories, a set of index system which assesses a supplier´s credit grade is established. Basing on the index system, a multi-layer support vector machines (SVM) classifier is established to assess and classify the suppliers´ credit grade in SC. In order to verify the effectiveness of the method, a real case is given and BP neural network is also used assess the same data. The experimental results show that multi-layer SVM classifier is effective in credit level assessment and achieves better performance than BP neural network