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

Author

Listed:
  • Shanda Duan

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Xuefeng Li

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Xiashi Jiang

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Xuxing Huang

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Yihao Yang

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Han Du

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

  • Wuning Xiao

    (School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China)

Abstract

In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises.

Suggested Citation

  • Shanda Duan & Xuefeng Li & Xiashi Jiang & Xuxing Huang & Yihao Yang & Han Du & Wuning Xiao, 2023. "Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15734-:d:1276204
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    References listed on IDEAS

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    1. Khargotra, Rohit & Kumar, Raj & András, Kovács & Fekete, Gusztáv & Singh, Tej, 2022. "Thermo-hydraulic characterization and design optimization of delta-shaped obstacles in solar water heating system using CRITIC-COPRAS approach," Energy, Elsevier, vol. 261(PB).
    2. Zhao, Bin & Ren, Yi & Gao, Diankui & Xu, Lizhi, 2019. "Performance ratio prediction of photovoltaic pumping system based on grey clustering and second curvelet neural network," Energy, Elsevier, vol. 171(C), pages 360-371.
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    Cited by:

    1. Wei Liu & Zhongyi Feng & Xiao Luo, 2024. "Measurement of Synergy Management Performance in Prefabricated Building Project Supply Chain," Sustainability, MDPI, vol. 16(24), pages 1-24, December.

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