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Mine safety assessment using gray relational analysis and bow tie model.

Qingwei Xu¹, Kaili Xu¹

¹School of Resources and Civil Engineering, Northeastern University, Shenyang, China.

|March 22, 2018

Summary

This study introduces a composite risk analysis model for mine safety, enhancing accident prevention. The model effectively identifies weak links and proposes safety measures for safer mining operations.

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Area of Science:

Mining Engineering
Risk Management
Industrial Safety

Background:

Mine safety assessment is crucial for production continuity and worker well-being.
Existing methods may not comprehensively address complex mine safety risks.
Effective accident prevention requires robust analytical models.

Purpose of the Study:

To propose a composite risk analysis model for enhancing mine safety assessment.
To improve the effectiveness of mine accident prevention strategies.
To provide a framework for identifying and mitigating mine safety weaknesses.

Main Methods:

Revised integrated weight method (variation coefficient and Delphi methods) for indicator weighting.
Gray relational analysis for mine enterprise safety evaluation and weak link identification.
Fuzzy evaluation method for validation and Bow tie model for cause-consequence analysis of weak links.

Main Results:

A composite risk analysis model integrating revised integrated weight, gray relational analysis, and Bow tie analysis was developed.
The model effectively ranks mine enterprise safety and identifies critical weak links.
Case study validated the model's effectiveness and rationality in mine safety assessment.

Conclusions:

The proposed composite risk analysis model offers a comprehensive approach to mine safety assessment.
The model aids in identifying root causes and consequences of safety issues, enabling targeted interventions.
This methodology can be adapted for safety evaluations in other industrial sectors.