摘要
为探究我国制造企业机械伤害事故发生的部分原因,首先以206份机械伤害事故报告为样本,基于人因分析与分类系统(HFACS)模型,运用SPSS软件分析样本数据频率及相关性,其中,较常见的致因因素是组织氛围、监督不到位、不良的心理状态和偶然性违规;各致因因素间的关联强度值为1.994~5.407,组织氛围-监督不到位-不良的心理状态-偶然性违规是关联强度之和最大的关键事故致因路径;然后利用Super Decisions软件计算致因因素权重,其中,不安全行为的前提条件权重值为0.3301,是所占权重最高的关键层级,不安全的监督层级中的计划任务不恰当权重值为0.1501,是权重最高的关键因素;最后通过分析提出预防机械伤害事故发生的策略。研究结果表明:机械伤害事故的发生是各致因因素间相互作用的结果,减少制造企业机械伤害事故需要阻断事故致因路径、加强对关键层级和关键因素的管控。
In order to explore part of the causes of mechanical injury accidents in manufacturing enterprises located in China,206 reports of mechanical injury accidents were selected as samples in this research.Based on the HFACS model,SPSS software was used to analyze the frequency and correlation of sample data,and the weight of causative factors was calculated in Super Decisions software.In each level of the HFACS model,the factors with the highest frequency were organizational atmosphere,inadequate supervision,bad psychological state and accidental violation.The correlation intensity among the factors lied between 1.994 and 5.407.The largest causal path of the sum of the correlation intensity of mechanical injury accidents in manufacturing enterprises was organizational atmosphere-inadequate supervision-bad psychological state-accidental violation.The premise weight value of unsafe behavior was 0.3301,which was the key level with the highest weight,and the improper weight of planned tasks in the unsafe supervision level was 0.1501,which was the key factor with the highest weight.Therefore,strategies to prevent mechanical injury accidents were proposed.The research results have shown that:the occurrence of mechanical injury accidents is the result of the interaction of various causative factors.To reduce mechanical injury accidents in manufacturing enterprises,it is necessary to block the causative path of accidents and strengthen the management and control of key levels and key factors.
作者
刘全龙
彭雨蒙
赵盼
王警智
LIU Quanlong;PENG Yumeng;ZHAO Pan;WANG Jingzhi(School of Economics and Management,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2023年第3期51-59,共9页
China Safety Science Journal
基金
江苏省教育厅哲学社会科学研究重大项目(2020SJZDA085)。
