中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (12): 56-61.doi: 10.16265/j.cnki.issn1003-3033.2017.12.010

• 安全工程技术科学 • 上一篇    下一篇

系统安全风险管控能力成熟度模型研究

张宇栋1,2, 吕淑然2 教授, 刘芳茗2   

  1. 1首都经济贸易大学 信息学院, 北京 100070
    2首都经济贸易大学 安全与环境工程学院, 北京 100070
  • 收稿日期:2017-08-11 修回日期:2017-11-09 出版日期:2017-12-28 发布日期:2020-10-10
  • 作者简介:张宇栋 (1990—)男,河南洛阳人,管理科学与工程专业,博士研究生,研究方向为安全管理工程、城市系统安全、公共安全与应急管理等。E-mail:z.yudong@foxmail.com。
  • 基金资助:
    国家自然科学基金资助(51474151);北京市自然科学基金资助(9162001);2017—2019年度首都经济贸易大学研究生学术新人计划项目资助。

Study on model for system safety risk management and control capability maturity

ZHANG Yudong1,2, LYU Shuran2, LIU Fangming2   

  1. 1School of Information, Capital University of Economics and Business, Beijing 100070, China
    2School of Safety and Environmental Engineering , Capital University of Economics and Business, Beijing 100070, China
  • Received:2017-08-11 Revised:2017-11-09 Online:2017-12-28 Published:2020-10-10

摘要: 为科学测度和分级评价系统对安全风险的管控能力,持续改进和提高系统安全风险管控行为,基于系统安全结构理论,针对复杂巨系统建立系统安全风险管控(SSRMC)-能力成熟度模型(CMM)体系;采用决策试行与评价实验室(DEMATEL)与网络层次分析法(ANP),定量分析指标因素并赋权,进一步利用三元区间数评价模型描述决策数据,计算管控能力成熟度级别。结果表明: DEMATEL-ANP结合三元区间数的定量分析方法应用于SSRMC-CMM,考虑了因素间的依赖性与反馈性影响;克服了评价指标定量描述模糊等问题;能够有效地确定责任主体改进和提升的关键因素。

关键词: 系统安全风险管控(SSRMC), 能力成熟度模型(CMM), 网络层次分析法(ANP), 三元区间数, 决策试行与评价实验室(DEMATEL)

Abstract: In order to scientifically measure and hierarchically evaluate the ability of safety risk management and control, and continuously improve and enhance the behavior as well,based on the theory of system safety structure, a SSRMC-CMM system for a complex giant system was established. The quantitative analysis and empowerment of index factors were carried out by DEMATEL and ANP, moreover the ternary interval numbers evaluation model was used to describe the decision making data, and calculate the maturity level of management and control capability. The results show that the ternary intervals quantitative analysis method combines with DEMATEL-ANP, which are applied to SSRMC-CMM, makes it possible to take consideration of the dependence and feedback effects of the index factors, and overcome the problems such as fuzzy quantitative description of evaluation index, which can effectively determine the main factors of improvement and enhancement of system's liability subjects.

Key words: system safety risk management and control(SSRMC), capability maturity model(CMM), analysis network process(ANP), ternary interval numbers, decision making trial and evaluation laboratory(DEMATEL)

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