关键词: 微车后桥, 关键工序, 生产异常损失, 径向基函数神经网络, 评估, 预警

Abstract: In view of the difficulties in evaluation and early warning of abnormal production loss for minicar rear axle key process,an abnormal production loss evaluation and early warning method was put forward,which integrated real-time acquisition of key process'abnormal production information with grey fuzzy evaluation of production abnormal loss and early warning of abnormal production loss.The abnormal events of minicar rear axle key process were classified,and an evaluation index system of key process abnormal production was established.The key technologies such as evaluation method of abnormal production loss based on grey fuzzy evaluation and the early warning method of abnormal production loss based on RBF neural networks were studied.The research results were successfully applied in a minicar rear axle product enterprise,and good effects was achieved.

Key words: minicar rear axle, key process, production abnormal loss, neural networks, evaluation, early warning