Evaluation on Safety Benefits of Mining Industry Occupational Health and Safety Management System Based on DEA Model and Grey Relational Analysis

  • Bao J
  • Johansson J
  • et al.
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Abstract

The mining industry safety production situation is becoming more and more severe in China with safety accidents occurring frequently, which is closely related to insufficient safety investments and unreasonable distribution. Additionally, it does not keep in line with the main purpose of occupation health and safety management system (OHSAS18001).In order to carry on the reasonable scientific disposition to the safety investments of the mining industry, increase safety investments efficiency and satisfy the requirements of OHSAS18001, data envelopment analysis (DEA) is adopted to calculate the safety investments, loss and output. Firstly, the analysis software MYDEA of DEA is used to calculate the results to obtain the evaluation result of safety benefits. Secondly, the target value of the improvement work in the aspect of investment is achieved by method of projection analysis when the decision making unit (DMUj0) of non DEA efficiency is changed into DEA efficiency. Lastly, it can be obtained on the basis of grey relational analysis (GM) that the investment amount of safety management and training of employees has the highest relation on the effective safety benefits of the mining industry. Thus, the investment of safety management and training of employees should be strengthened. This kind of empirical method of comprehensive model provides a direction and theoretical reference for safety investments benefits analysis and optimized investment structure, and a structure for the effective operation of mining industry occupational health and safety management system.

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Bao, J., Johansson, J., & Zhang, J. (2018). Evaluation on Safety Benefits of Mining Industry Occupational Health and Safety Management System Based on DEA Model and Grey Relational Analysis. International Journal of Engineering and Technology, 10(1), 82–88. https://doi.org/10.7763/ijet.2018.v10.1039

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