Process mining helps mining companies improve the management of workflows, strategic decision making, productivity, and operational efficiency. It achieves this by enabling companies to analyze and optimize workflows from event log data. This allows companies to identify previously undetected inefficiencies and downtime, and it supports effective operational planning and decision making.
As the mining industry embraces digital transformation, the optimization of maintenance systems, ore processing, logistics, and regulatory compliance is dependent on the use of process mining.
Process mining is the technique of generating insights from available event logs in systems. Inmining operations, this may include data generated from maintenance of equipment, production cycles, transport, processing of ore, and employees.
To enhance productivity and reduce operational losses, process mining is becoming widely adopted.
An underground block-caving mine is a great example of the use of process mining. It was able to define inefficiencies in the workflow for the maintenance of mining equipment. Through the analysis of the event logs, the mine was able to save roughly $1.12 million per annum, and every year it was able to save approximately 23,800 hours that the equipment was not working.
Process mining promotes the availability of equipment by enhancing the maintenance process.
Using process mining, organizations can observe their workflows from start to finish.
This allows organizations to:
Better process visibility helps organizations make quicker and more informed decisions.
Mining companies are subject to strict safety and environmental regulations. Process mining helps companies stay compliant by identifying deviations from approved workflows and pinpointing operational risks before they escalate and become unmanageable.
This yields improvements in:
When implementing process mining operations, mining companies should consider the following steps.
Process mining interventions should connect with productivity and cost issues, operational improvements, and the management of compliance.
Instead of overhauling all workflows, focus on a smaller target. This helps to establish the operational value of process mining and allows companies to roll out improvements across multiple units.
To realize improvements, participants should include:
Sufficient interaction across departments helps in understanding and adoption of processes.
Mining is characterized by a variety of operations, workflows, and operational activity volumes. As a result, companies should implement software that facilitates process mining and captures:
Sufficiently advanced tools enable companies to transform operational data and activity into benefits.
We offer solutions that enhance operations, generate cost savings, and foster decisions based on accurate data.
NTWIST Integrates advanced analytics, operational data, and process optimization to give the mining and metals sector more clarity on workflow and augment business operations.
Process intelligence is crucial for maximizing operational efficiency and productivity in modern mining as the industry continues down the path to a more data-centric way of operating.
The goal for process mining is to reach a high level of understanding of how workflows operate and behave within the four walls of a mining business. This is the key to identifying performance gaps and driving performance improvement.
In the more competitive marketplace that mining businesses now operate, investing in process mining in this way offers a means to increase operational agility, drive down costs, and enhance competitiveness.
Enhancing visibility of workflows and eliminating process inefficiencies is what process mining is bringing to the mining industry. Process mining, in areas such as maintenance improvement and compliance assurance, is offering clear business insights to support ongoing improvement and advanced decision making for the mining sector.
In a complex operational environment with increasing competition, the aim of process mining for the mining and metals industry is to simplify operations, reduce operational risk, and provide a platform for achieving performance excellence.
Process mining is the analysis of event log data generated by business operations to identify workflow inefficiencies and improve operational performance.
To improve the productivity of a process, with compliance management, process mining allows for better planning of maintenance to minimize disruptions in the workflow.
The key benefits are thoroughness of operational visibility, reduction of costs, and optimization of workflows, as well as the ability to make quicker and informed decisions because of clear visibility of compliance.
Definitely. The analysis of the process can help companies identify bottlenecks for maintenance and inefficiencies in workflows, allowing them to minimize equipment downtime and enhance utilization of their assets.
With the mining of process data, the risk of operations can be reduced while the efficiency of the business can be maximized in conjunction with the support of continual improvements to operations.
ReferencesMDPI. (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/