基于ANP-TOPSIS的煤矿风险预控管理体系有效性评估

Effectiveness Evaluation of Coal Mine Risk Pre-control Management System Based on ANP-TOPSIS

风险预控管理体系的实施降低了煤矿事故的数量和死亡人数,但由于煤矿企业在实施此体系过程中存在着不科学性和不系统性等问题,导致对煤矿事故控制还没达到预期效果。因此,如何科学有效的评估当前煤矿风险预控管理现状显得尤为关键。通过构建基于网络层次分析法(ANP)和耦合逼近理想解排序法(TOPSIS)的煤矿风险预控管理体系有效性模型,从风险预控管理、保障管理、不安全行为管理、安全要素管理、综合管理和检查、审核与评审6个方面对煤矿风险预控管理体系有效性进行评估,最后以王楼煤矿为例进行实证研究。结果显示,计算参照值为0.51,说明该体系处于一般有效级别。其中该体系有效性的最大的影响因素是保障管理、不安全行为管理和安全要素管理3个方面,应加强对这3个方面的管理以提升其有效性。

The implementation of the risk pre-control management system has reduced the number of coal mine accidents and the number of deaths. However, due to the unscientific and unsystematic problems existing in the implementation of this system, the coal mine accident control has not achieved the expected effect, scientifically and effectively assess the current status of coal mine risk pre-control management is particularly critical. This paper builds a coal mine risk pre-control management system effectiveness model based on ANP and TOPSIS, the effectiveness of the risk pr e-control management system of coal mine is evaluated from six aspects: risk pr e-control management, safeguard management, personnel unsafe behavior management, production factor management, comprehensive management and inspection, audit and review, finally, Wanglou Coal Mine is taken as an example for empirical study. The results show that the calculated reference value is 0.51, indicating that the system is at a generally effective level. Among them, the most influential factors of the effectiveness of the system are safeguard management, unsafe behavior management and security factor management. The management of these three aspects should be strengthened to enhance its effectiveness.