基于灰色-广义回归神经网络的工程公司供应商评价

Supplier Evaluation for Engineering Enterprises Based on Gray General Regression Neural Network

针对B工程公司中缺乏供应商评估工具,造成公司资源浪费,甚至巨额损失的现状,结合精益供应链的特点,构筑精益供应商评价体系模型。在模型的基础上,提出一种基于灰色-广义回归神经网络(G-GRNN)的工程公司供应商评价方法,通过Matlab中的神经网络工具对其进行建模,并以B安防系统工程公司的实例证明了其有效性,并证明其精度高于传统BP神经网络。

The paper formulates a lean supplier evaluation model for engineering enterprise B which suffers great resource wastes and huge financial losses from lack of supplier evaluation tools, on the basis of which, it proposes a supplier evaluation method for engineering enterprises based on gray-general regression neural network （G-GRNN） and formulates the related model using Matlab and validates its superiority to traditional BP neural network in accuracy in a case study concerning the engineering enterprise B.