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Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines

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  • Jiskani, Izhar Mithal
  • Yasli, Fatma
  • Hosseini, Shahab
  • Rehman, Atta Ur
  • Uddin, Salah

Abstract

Surface mining is vulnerable and subject to a wide range of risks, requiring extensive risk analysis to ensure mine health and safety (MHS). Fault tree analysis (FTA) is a graphic representation tool for conducting safety and reliability analyses by modeling causal chains that lead to failures. However, conventional FTA cannot deal with uncertain and imprecise information. Therefore, in order to handle the uncertainty arising from lack of complete information and to enhance the reliability of qualitative judgment of experts, the concepts of Z-numbers and fuzzy theory are combined with FTA. The proposed approach used expert elicitation to comprehensively analyze MHS risks related to machine/equipment, environment, and workplace. Through causal inquiries of the FTA, 8 undesired events and 65 underlying basic events are explored and analyzed, taking into account the probability of occurrence of all basic events. Further, a sensitivity analysis is performed using Fussell-Vesely Importance and Risk Reduction Worth Methods to verify the model and examine how each of the basic events contributes to the occurrence of any undesirable incident. Results reveal that issues associated with blasting, dust, and explosive fumes are the most probable incidents to occur among the undesired events. The main basic events causing MHS risks result from non-implementation of regulations, staff incompetence, improper safety perimeter setting, and explosive calculations. This study assists practitioners in making risk management decisions and implementing corrective measures. The proposed approach can also be applied to investigate similar risk factors in different industries.

Suggested Citation

  • Jiskani, Izhar Mithal & Yasli, Fatma & Hosseini, Shahab & Rehman, Atta Ur & Uddin, Salah, 2022. "Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines," Resources Policy, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000423
    DOI: 10.1016/j.resourpol.2022.102591
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hosseini, Shahab & Mousavi, Amin & Monjezi, Masoud & Khandelwal, Manoj, 2022. "Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach," Resources Policy, Elsevier, vol. 79(C).
    2. Guanshuang Jiang & Xinyu Shen & Xuefei Liao & Xiaoqi Xuan & Lechen Wu & Haomin Zhang & Zhen Li, 2024. "An Exploration on Z-Number and Its Properties," Mathematics, MDPI, vol. 12(19), pages 1-19, October.
    3. Tomar, Parul & Kumar, Amit, 2024. "Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines by I. M., Jiskani, F., Yasli, S., Hosseini, A. U., Rehman, S., Uddin [Resources Policy 76 (2022) 1," Resources Policy, Elsevier, vol. 95(C).
    4. Lo, Huai-Wei & Lin, Sheng-Wei, 2023. "Identifying ESG investment key indicators and selecting investment trust companies by using a Z-fuzzy-based decision-making model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    5. Poormirzaee, Rashed & Hosseini, Shahab & Taghizadeh, Rahim, 2022. "Smart mining policy: Integrating fuzzy-VIKOR technique and the Z-number concept to implement industry 4.0 strategies in mining engineering," Resources Policy, Elsevier, vol. 77(C).
    6. Kai Pan & Hui Liu & Xiaoqing Gou & Rui Huang & Dong Ye & Haining Wang & Adam Glowacz & Jie Kong, 2022. "Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping," Sustainability, MDPI, vol. 14(18), pages 1-28, September.

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