Why Mining Maintenance Teams Are Still Firefighting

Mining operations have more asset data than ever before, yet many maintenance teams are still stuck reacting to failures instead of preventing them.

In this episode of the Dig Deep Mining Podcast, Charlie Forrest, CEO of, discusses why predictive maintenance in mining still falls short at many operations, and what leading sites are doing differently to improve reliability, maintenance execution, and asset performance.

The conversation explores the growing gap between monitoring equipment health and actually executing the right maintenance actions before failures occur.

Topics covered in this episode include:

- Predictive maintenance strategies in mining
- Why maintenance teams are still firefighting
- Mining reliability challenges across mixed OEM fleets
- Asset health monitoring and condition-based maintenance
- Why critical failure signals still get missed
- Turning maintenance data into operational action
- AI in mining maintenance and reliability
- Maintenance planning and prioritization
- Reducing unplanned downtime in mining operations
- The future of reliability engineering in mining

Whether you work in mining maintenance, reliability engineering, asset management, operations, or digital transformation, this episode provides practical insights into the operational realities behind predictive maintenance programs and where AI and asset intelligence are beginning to make a measurable impact.

Watch now to learn:

✔ Why dashboards alone don’t prevent failures
✔ The “execution gap” impacting mining maintenance teams
✔ How siloed systems create blind spots across mining assets
✔ Where AI is creating real value in maintenance workflows
✔ What high-performing mining operations do differently

Видео Why Mining Maintenance Teams Are Still Firefighting канала Dingo Software