文章摘要
郑立伟,刘中华,倪超.大数据技术对市场监管的启发—数据驱动的质量风险评估[J].技术经济,2021,40(8):33-40.
大数据技术对市场监管的启发—数据驱动的质量风险评估
Elicitation of Big Data Technology on Market Supervision—Data-Driven Quality Risk Assessment
投稿时间:2020-12-08  修订日期:2021-07-15
DOI:
中文关键词: 质量风险  数据驱动  风险评估  质量治理
英文关键词: quality risk  data-driven  risk assessment  quality governance
基金项目:北京市科学技术委员会城市运行安全保障项目“基于大数据的产品质量安全风险预警技术与平台建设”(Z191100001419016)
作者单位E-mail
郑立伟 中国航空综合技术研究所 xing_cun@sina.com 
刘中华 中国航空综合技术研究所 liuzhonghuadyx@163.com 
倪超 中国航空综合技术研究所 nichao2011@126.com 
摘要点击次数: 189
全文下载次数: 87
中文摘要:
      质量信息难以获取一直是政府质量治理面临的重大挑战。互联网及大数据技术的发展使多元异构数据的采集、处理及动态分析成为可能。本文聚焦基于大数据的质量风险评估,提出了数据驱动的质量风险评估思路,系统性地识别供应风险、经营风险、准入风险、诚信风险和技术风险五种不同模式的风险来源,通过散落在互联网中的数据构建了不同模式风险来源的表征指标,最终设计了质量风险评估系统框架,并以产品缺陷风险预警为例验证了框架的实用性和有效性。本文的研究为大数据技术在质量风险评估中的应用提供了有益的启示。
英文摘要:
      The difficulty in obtaining quality information has always been a major challenge for government quality governance. The development of big data technology also makes it possible to collect, process and dynamically update multi heterogeneous data. This article focuses on quality risk assessment based on big data, and proposes a data-driven quality risk assessment idea, systematically identifies the risk sources of five different modes: Supplying Risk, Running Risk, Admittance Risk, Credit Risk and Technology Risk. Through the scattered data in the Internet, it constructs the indicators of different modes of risk sources, and finally designs the data-driven product quality risk assessment system framework and verified by an example of product defect risk early warning. The research here provides useful Elicitation for the application of big data technology in quality risk assessment.
查看全文   Html全文     查看/发表评论  下载PDF阅读器
关闭

分享按钮