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An Assessment Model of Safety Production Management Based on Fuzzy Comprehensive Evaluation Method and Behavior-Based Safety

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  • Junqiao Zhang
  • Xuebo Chen
  • Qiubai Sun

Abstract

To better guarantee the health and safety of employees and reduce the probability of occupational injuries and accidents, it is necessary to evaluate safety production management levels in enterprises. In this study, an evaluation index model was established for the safety production management of an oilfield enterprise. By utilizing an analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE), this research is based on the characteristics of the oilfield enterprise and its behavior-based safety (BBS) management. A comparison of the results of two FCEs shows that the unsafe behaviors of employees were considerably reduced, and the safety production management level was significantly increased. The results of the case study also verify that combining the FCE model and the BBS approach is effective. The combination of the AHP and FCE method with BBS management support aims to improve safety behavior and increase safety training and the identification of critical unsafe behavior, thus reducing occupational injuries and accidents.

Suggested Citation

  • Junqiao Zhang & Xuebo Chen & Qiubai Sun, 2019. "An Assessment Model of Safety Production Management Based on Fuzzy Comprehensive Evaluation Method and Behavior-Based Safety," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-11, February.
    • Handle: RePEc:hin:jnlmpe:4137035
    DOI: 10.1155/2019/4137035
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    Cited by:

    1. Kai Yu & Lujie Zhou & Pingping Liu & Jing Chen & Dejun Miao & Jiansheng Wang, 2022. "Research on a Risk Early Warning Mathematical Model Based on Data Mining in China’s Coal Mine Management," Mathematics, MDPI, vol. 10(21), pages 1-20, October.

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