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An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

Author

Listed:
  • Jiangdong Bao

    (Centre of Advanced Mining and Metallurgy, CAMM, Department of Human Work Science, Luleå University of Technology, Luleå 97751, Sweden)

  • Jan Johansson

    (Centre of Advanced Mining and Metallurgy, CAMM, Department of Human Work Science, Luleå University of Technology, Luleå 97751, Sweden)

  • Jingdong Zhang

    (Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430000, China)

Abstract

In order to effectively analyze, control, and prevent occupational health risk and ensure the reliability of the weight, a method based on FMEA (failure mode and effects analysis) and an improved AHP (analytic hierarchy process) model was established. The occupational disease of the occupational health and safety management system (OHSAS18001) of the mining industry in the southwest of Hubei Province is taken as an example, the three most significant risk factors (dust, noise, and gas) are selected as the research objects, the FMEA method is used, an expert questionnaire is carried out to establish the comprehensive assessment matrix of each indicator according to the RPN (risk priority number) value, and, finally, a case study is conducted through the FMEA and the improved AHP model The results show that the occupational disease of the mining industry’s occupational health and safety management system belongs to a “general” grade, which is in line with the physical examination results of the Center for Disease Control and Prevention of Ezhou City in 2015. The improved AHP and FMEA comprehensive assessment model of occupational disease is proved feasible. This method can be incorporated in the process management of the enterprise for the purpose of occupational disease prevention in advance and continuous improvement on the occupational health and safety of employees. Additionally, the area research on this integrated model should be optimized continually in actual situations.

Suggested Citation

  • Jiangdong Bao & Jan Johansson & Jingdong Zhang, 2017. "An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model," Sustainability, MDPI, vol. 9(1), pages 1-10, January.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:94-:d:87489
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    References listed on IDEAS

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    1. Lolli, F. & Ishizaka, A. & Gamberini, R., 2014. "New AHP-based approaches for multi-criteria inventory classification," International Journal of Production Economics, Elsevier, vol. 156(C), pages 62-74.
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    Cited by:

    1. Costica Bejinariu & Doru-Costin Darabont & Elena-Raluca Baciu & Iuliana-Silvia Georgescu & Mihai-Adrian Bernevig-Sava & Constantin Baciu, 2017. "Considerations on Applying the Method for Assessing the Level of Safety at Work," Sustainability, MDPI, vol. 9(7), pages 1-11, July.
    2. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    3. Marta Gómez-Galán & José Pérez-Alonso & Ángel-Jesús Callejón-Ferre & Julián Sánchez-Hermosilla-López, 2018. "Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses," Sustainability, MDPI, vol. 10(8), pages 1-33, August.
    4. Jiangdong Bao & Jan Johansson & Jingdong Zhang, 2017. "Comprehensive Evaluation on Employee Satisfaction of Mine Occupational Health and Safety Management System Based on Improved AHP and 2-Tuple Linguistic Information," Sustainability, MDPI, vol. 9(1), pages 1-14, January.

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