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企业安全生产预警指数模型构建研究

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为解决企业安全生产过程中风险预警指数构建的难题,提出1种基于多指标耦合作用下的双重权重安全生产预警指数模型.首先,分析导致生产安全事故的风险因素,设计安全生产预警指标调查问卷,借助网络数据平台组织企业职工参与问卷调查;其次,通过数据分析筛选出有效问卷,采用Pearson相关系数法和德尔菲法选出最优安全生产预警指标体系;最后,采用改进的AHP法调整不同年龄段问卷打分值的贡献度和CRITIC法确定指标权重的"双权法"赋权,构建安全生产预警指数(SPI)模型,并以某企业进行应用研究.研究结果表明:安全生产预警指数模型准确可靠,得到企业的认可及推广应用.研究结果可为企业安全生产预警管理提供参考.
Research on construction of work safety early-warning index model for enterprises
To solve the difficult problem in the construction of risk early-warning index during the work safety process of en-terprises,a double-weight work safety early-warning index model based on multi-index coupling was put forward. Firstly,the risk factors causing work safety accidents were analyzed,then the questionnaire concerning the work safety early-warning in-dex (SPI) was designed,and through the network data platform,the enterprise employees were organized to take part in the questionnaire survey. Secondly,the effective questionnaires were selected through data analysis,and the optimal SPI system was determined by the Pearson correlation coefficient method and Delphi method. Finally,the improved analytic hierarchy process (AHP) method was employed to adjust the contribution degree of the questionnaire scores of different age groups,and the CRITIC method was utilized to determine the "double-weight method" weighting of index weights. The SPI model was es-tablished,and taking a certain enterprise as an example,the application research was carried out. The results show that the SPI model is precise and reliable,and has been recognized and promoted by enterprises. The research results can provide ref-erence for the work safety early-warning management of enterprises.

work safety early-warning index (SPI)"double-weight method"questionnaire surveyimproved AHPCRITIC

丁洪玲、王福生、刘鑫垚、董宪伟、韩圣君、王达、李国友

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华北理工大学理学院,河北唐山 063000

华北理工大学应急管理与安全工程学院,河北唐山 063000

天津钢铁集团有限公司,天津 300301

秦皇岛博赫科技开发有限公司,河北秦皇岛 066000

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安全生产预警指数(SPI) "双权法" 问卷调查 改进AHP法 CRITIC法

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(12)