A risk analysis model for mining accidents using a fuzzy approach based on fault tree analysis


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Yasli F., Bolat B.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, vol.31, no.4, pp.577-594, 2018 (Journal Indexed in SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 4
  • Publication Date: 2018
  • Doi Number: 10.1108/jeim-02-2017-0035
  • Title of Journal : JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
  • Page Numbers: pp.577-594

Abstract

Purpose Risk analysis is a critical investigation field for many sectors and organizations to maintain the information management reliable. Since mining is one of the riskiest sectors for both workers and management, comprehensive risk analysis should be carried out. The purpose of this paper is to explore comprehensively the undesired events that may occur during a particular process with their main reasons and to perform a risk analysis for these events, by developing a risk analysis methodology. For performing risk analysis, discovering and defining the potential accidents and incidents including their root causes are important contributions of the study as distinct from the related literature. The fuzzy approach is used substantially to obtain the important inferences about the hazardous process by identifying the critical risk points in the processes. In the scope of the study, the proposed methodology is applied to an underground chrome mine and obtaining significant findings of mining risky operations is targeted.