报废汽车回收再制造企业特征属性与生产性服务需求匹配预测  

Prediction of Feature Matching Between End-of-Life Vehicle Recycling and Remanufacturing Manufacturers and Producer Service Demand

作　　者：庞金茹[1] 李国威[2,3] 江志斌[1] 耿娜[1] 

机构地区：[1]上海交通大学工业工程与物流工程系,上海200240 [2]上海交通大学中美物流研究院,上海200240 [3]江苏天奇物流系统工程股份有限公司,江苏无锡214187

出　　处：《工业工程》2014年第3期114-120,共7页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(70932004)

摘　　要：为了应对报废汽车回收再制造行业的快速发展,将报废汽车回收再制造产业链与生产服务相结合,提出将报废汽车回收再制造企业特征参数与多种生产性服务进行匹配的预测模型。通过调查问卷方式获得原始样本数据,并采用主成分分析方法进行数据处理,建立遗传算法-BP神经网络混合模型,然后对模型进行训练和测试,实现对生产性服务需求匹配的预测功能。With the rapid development of the China automobile recycling and remanufacturing market , a BP neural network and genetic algorithm mixed model for featuring matching between end -of-life vehicle re-cycling and remanufacturing manufacturers and producer service demand is presented .On the basis of as-certaining the feature parameters and collecting data through questionnaire , principal component analysis is used to eliminate information overlapping of the raw data and reduce the input dimension .Then, a predic-tion model of genetic algorithm-BP neural network is proposed and finally used for training , testing data and predicting manufacturers＆#39;service demand .

关 键 词：报废汽车回收再制造 特征属性匹配 生产性服务 BP神经网络 遗传算法 

分 类 号：F272[经济管理—企业管理]