基于模糊综合评判和BP神经网络的通用机械产品售后质量损失评估及预警方法  

After-sale Quality Loss Evaluation and Early Warning Method of Universal Engineering Products Based on Fuzzy Comprehensive Evaluation and BP Neural Networks

作　　者：李进才[1] 尹超[1] 刘飞[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400044

出　　处：《中国机械工程》2011年第24期2941-2946,2976,共7页China Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划)资助项目(2007AA040701)

摘　　要：针对通用机械产品售后质量损失影响因素多、质量损失评估及预警困难等问题,提出了一种基于模糊综合评判和BP神经网络的通用机械产品售后质量损失评估及预警方法。建立了通用机械产品售后质量损失的评价指标体系,并对售后质量损失的综合模糊评价、三层BP神经网络质量损失预警等关键技术进行了研究。最后,将该方法应用于重庆某通用机械制造企业售后质量损失的评估预警管理,取得了良好应用效果。In view of the after-sale quality loss of universal engineering products is affected by multiple factors and it has difficulties in evaluation and early warning. An after-sale quality loss evaluation and early warning method for universal engineering products was put forward,which was based on fuzzy comprehensive evaluation and BP neural networks.Meanwhile,the evaluation index system for after-sale quality loss was founded.Subsequently,some of the key technologies were studied,including fuzzy comprehensive evaluation,three layer BP neural networks forecasting for the after-sale quality loss.Finally,the method was successfully applied in after-sale quality loss evaluation and early warning in a universal engineering products manufacturer of Chongqing, and good results were obtained.

关 键 词：通用机械产品 质量损失 模糊综合评判 神经网络 质量评估 预警 

分 类 号：TH166[机械工程—机械制造及自动化] TB112[理学—数学]