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Mining AI & Optimization Article

How Process Mining Transforms Mining Operations

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How Process Mining Is Transforming Mining Operations

Process mining, a technique that analyzes event logs to discover and optimize processes, is revolutionizing the mining industry. By providing a data-driven approach to understanding and improving operations, mining companies can uncover inefficiencies, enhance productivity, and drive significant cost savings.


Understanding Process Mining in Mining Operations

Process mining involves extracting knowledge from event logs readily available in today's information systems. In the context of mining, this means analyzing data from various operations such as equipment maintenance, ore processing, and logistics to identify patterns, bottlenecks, and deviations from standard procedures.


Real-World Applications and Benefits

Several mining companies have successfully implemented process mining to optimize their operations:

  • Maintenance Optimization: A case study of an underground block caving mine demonstrated that process mining could identify inefficiencies in the maintenance process, leading to a reduction of 23,800 equipment operating hours lost per year and saving approximately $1.12 million annually. This was achieved by analyzing event logs to pinpoint bottlenecks and streamline maintenance workflows.

  • Process Efficiency: By applying process mining techniques, companies can gain visibility into their end-to-end processes, allowing them to identify and eliminate inefficiencies, reduce cycle times, and improve overall operational efficiency.

  • Compliance and Risk Management: Process mining aids in ensuring compliance with regulations by detecting deviations from prescribed processes, thereby mitigating risks associated with non-compliance.


Implementing Process Mining: Best Practices

To effectively implement process mining in mining operations, consider the following best practices:

  • Align with Business Objectives: Ensure that process mining initiatives are aligned with the organization's strategic goals to drive meaningful outcomes.

  • Start Small: Begin with a pilot project focusing on a specific process to demonstrate value before scaling up.

  • Engage Stakeholders: Involve cross-functional teams, including IT, operations, and compliance, to ensure a comprehensive understanding and successful adoption.

  • Leverage the Right Tools: Utilize process mining tools that can handle the complexity and scale of mining operations, providing actionable insights through intuitive visualizations and analytics.

At NTWIST, we assist mining companies in integrating process mining into their operations, offering tailored solutions that enhance efficiency, reduce costs, and support data-driven decision-making.


Conclusion

Process mining is a powerful tool that enables mining companies to gain deep insights into their operations, uncover hidden inefficiencies, and drive continuous improvement. By adopting process mining, organizations can enhance productivity, ensure compliance, and achieve operational excellence in an increasingly competitive industry.

References

MDPI. (2023). Towards the Application of Process Mining in the Mining Industry: A Case Study of the Maintenance Process in an Underground Block Caving Mine. Retrieved from https://www.mdpi.com/2071-1050/15/10/7974

iGrafx. (2025). 5 Ways to Improve your Process Mining Strategy in 2025. Retrieved from https://www.igrafx.com/blog/5-ways-to-improve-your-process-mining-strategy-in-2025/

Celonis. (2023). 12+ Real World Process Mining Case Studies. Retrieved from https://www.celonis.com/blog/12-case-studies-that-drive-home-the-power-of-process-mining/

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