摘要
为了给企业在开展再制造业务时提供风险评估参考模型,从再制造全生命周期出发分析再制造系统面临的各种风险,构建包括收集、检测、拆卸、再制造和再循环五大环节的评价指标体系;建立基于Back Propagation(BP)神经网络的风险评价方法;并利用权矩阵之间的关系函数确定评价指标的影响次序,找出再制造系统风险的主要风险因素;然后通过Internet收集资料选取五个企业的再制造业务风险评价作为样本训练模型;最后以某机床制造企业的再制造项目风险评估验证上述评估方法的有效性。
To provide reference risk assessment model for implementing remanufacturing in enterprise, a set of evaluation indexes was proposed from the life cycle of remanufacturing, which including acquisition, assessment, disassembly, reprocessing and recycling phases; and Back Propagation （BP） neural network was applied to measure the risk of the remanufacturing system;in addition, the influence of the assessing indexes on the output was calculated by the relationship function between the networked weights. The risk assessment model is trained by five samples obtained from the Internet, and is verified by the case of one machining tools company.
出处
《科技广场》
2010年第8期215-217,共3页
Science Mosaic
基金
南昌大学社会科学校研究基金资助项目(No09XGL01)
关键词
再制造
风险评价
BP神经网络
Remanufacturing
Risk Assessment
Back Propagation （BP） Neural Network
