摘要
为建立以大数据分析为手段,针对海量产品伤害信息的整合、分析工具,从而快速识别相关安全风险,锁定缺陷消费品,从技术上破解缺陷产品信息匮乏的瓶颈,本文在梳理国内研究现状及借鉴系统工程学的霍尔三维结构理论和预警管理的RKD模式理论基础上,建立了缺陷消费品风险监测指标体系,将为缺陷消费品召回管理提供参考。
In order to identify relevant security risks and find defective consumer goods quickly by establishing the integration and analysis tools for mass product injury information based on big data analysis,the paper establishes a risk monitoring index system of defective consumer goods based on reviewing the research status and studying Hard System Methodology and RKD mode of early warning management,in order to provide a reference for management of defective consumer products.
作者
殷姣
张天龙
周广军
YIN Jiao;ZHANG Tian-long;ZHOU Guang-jun(Jiangsu Institute of Quality and Standardization)
出处
《标准科学》
2018年第12期180-184,共5页
Standard Science
基金
国家质检总局科技计划项目(项目编号:2016QK070)资助
关键词
缺陷消费品管理
风险监测
指标体系
management of defective consumer products
risk monitoring
index system