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A Bayesian Network Analysis for Occupational Accidents of Mining Sector

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Proceedings of the International Symposium for Production Research 2018 (ISPR 2018)

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Abstract

The mining sector is one of the most important raw material sources and wealth sources for countries. On the other hand, many work accidents occur during its activities due to the adverse working conditions. Research is being conducted to reduce the security risk factor, which is one of the most critical obstacles to the social sustainability of the mining industry. In this study, under-recorded mine accidents and injuries are handled, rather than the accidents of the roof falling and the explosions which are frequently considered in the literature. In this scope of the study, accidents and incidents that occur during the specified processes (support, face, loading and transportation activities) of an underground chrome mine are investigated. Expert judgments have been used since no past accidents are allowing statistical inferences. BN has been used to find out the issues about the safety risk by addressing the causal relationships between the events. OHS education, OHS inspection, employee attention and, rock and ground structure of the working area have been deduced as the root causes of the accidents which occur mostly during the labor-intensive processes. By using the updating ability of the BN, comprehensive sensitivity analysis has been performed with the new information related to root causes. According to different scenarios associated with the various states of the root causes, the results and the future suggestions are presented.

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Acknowledgement

We would like to offer our thanks to three anonymous field experts for the wealth of the information they freely provided without which this research would not have been possible.

Author information

Authors and Affiliations

  1. Transportational Vocational School, Anadolu University, Eskişehir, Turkey

    Fatma Yaşlı

  2. Management Engineering, Istanbul Technical University, Istanbul, Turkey

    Bersam Bolat

Authors
  1. Fatma Yaşlı
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  2. Bersam Bolat
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Corresponding author

Correspondence to Fatma Yaşlı .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical and Industrial Engineering, Technische Universität Wien, Vienna, Austria

    Numan M. Durakbasa

  2. Faculty of Engineering, Istanbul Aydın University, Istanbul, Turkey

    M. Günes Gencyilmaz

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Yaşlı, F., Bolat, B. (2019). A Bayesian Network Analysis for Occupational Accidents of Mining Sector. In: Durakbasa, N., Gencyilmaz, M. (eds) Proceedings of the International Symposium for Production Research 2018. ISPR 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-92267-6_63

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  • DOI: https://doi.org/10.1007/978-3-319-92267-6_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92266-9

  • Online ISBN: 978-3-319-92267-6

  • eBook Packages: EngineeringEngineering (R0)

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