Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

Abstract

China is a major coal producer, with huge differences in coal production and safety situations between the South and the North. Taking province A as an example, its coal enterprises have low output, poor efficiency, backward equipment, and low-quality personnel. The output accounts for 0.08% of the country, and the number of deaths accounts for 2.2% of the country, the safety situation of coal enterprises in province A is severe. In order to study the safety risk situation of coal mines under difficult conditions, this paper screens 98 factor indexes including multiple subjects such as enterprise managers, front-line workers, government supervisors, external environment, work quality, stress factors, economic factors, and other dimensions. For different data, the indicator weights were calculated using triangular fuzzy number, entropy weight method, CRITIC method, and three rough set methods in a total of six methods. The comprehensive weights of the indicators were obtained using the proposed new comprehensive weight method. The current situation of safety work of four coal mining enterprises and three levels of government supervision departments was evaluated, and the evaluation results were compared with other existing data to verify the reliability of the evaluation system. The horizontal comparison of the evaluation results indicates the main problems of each subject; the longitudinal comparison points out the problems that need to be solved with the assistance of higher-level enterprises and the central government, and corresponding suggestions for coal mining enterprises and government departments are put forward to reduce the safety risks of troubled coal mining enterprises.

Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting

“…The weighting vector ω j+1 is used to weight the data b j in the restructured data set. Following that, the absolute weight of each evaluation indicator is then calculated using Equation (2), and the relative weight of each indication is determined using Equation (3).…”

“…Meanwhile, experts and scholars have explored and tried various methods of safety evaluation, including the analytic hierarchy process (AHP), the entropy weight method, SCL (Safety Check List), the cloud model, extenics, the grey clustering evaluation method, etc. You et al [3] combined the triangular fuzzy number method, the entropy weight method, the criteria importance through intercriteria correlation (CRITIC) method, and three rough set methods; simultaneously, they combined these six subjective and objective weight calculation methods based on Euclidean distance of information entropy and rough set to assign weights into comprehensive weights. After performing this, they evaluated the safety management status of four coal mining enterprises and confirmed the viability of this evaluation method.…”