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Enhancing mineral transportation systems in underground mines: A framework for capacity analysis
Mohammad Javad Rahimdel1, Reza Mohammadpour1
1Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
Heliyon
|March 7, 2025
Summary
This study introduces a new framework using Fault Tree Analysis (FTA) and Event Tree (ET) to assess mining production capacity by analyzing failures in mineral transportation systems. It helps mitigate risks and production losses in underground mining operations.
Area of Science:
- Mining Engineering
- Risk Management
- Systems Analysis
Background:
- Mineral transportation is a major cost and risk factor in mining operations.
- Failures in transportation systems significantly impact production capacity and cost-effectiveness.
- Limited research exists on capacity analysis through mineral transportation failure analysis.
Purpose of the Study:
- To introduce an enhanced framework for capacity analysis in underground mining using FTA and ET.
- To integrate FTA and ET within a fuzzy logic context for comprehensive system evaluation.
- To assess production losses due to operational interruptions in mineral transportation systems.
Main Methods:
- Fault Tree Analysis (FTA) and Event Tree (ET) were employed.
- A fuzzy logic environment was utilized due to data limitations.
- A case study at the Qaleh-Zari underground copper mine was conducted for risk assessment.
Main Results:
- Potential scenarios leading to mineral transportation failures were identified.
- Risks associated with each scenario and the overall system were assessed.
- Potential production losses were evaluated, demonstrating the framework's effectiveness.
Conclusions:
- The integrated FTA and ET framework provides a robust method for capacity analysis in underground mining.
- The approach effectively assesses risks and potential production losses in mineral transportation systems.
- Findings offer guidance for optimizing operations, enhancing safety, and mitigating risks for mine managers.
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