关键词: 人因分析与分类系统(HFACS), 制造企业, 机械伤害事故, 事故致因, 网络层次分析法(ANP)

Abstract:

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 0.330 1, which was the key level with the highest weight, and the improper weight of planned tasks in the unsafe supervision level was 0.150 1, 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.

Key words: human factors analysis and classification system (HFACS), manufacturing enterprises, mechanical injury accident, cause of accident, analytic network process (ANP)