CanadaManufacturing2021 – ongoingTeck Resources
Machine learning recommendations for Highland Valley Copper processing
Teck reported 15% higher mill throughput in 2021 after combined machine learning and process-control improvements
Problem
Ore characteristics affected processing performance at Highland Valley Copper. Operators needed to adjust material blends and processing conditions.
Approach
Teck linked ore tracking to the processing plant using machine learning models. The system recommended conveyor adjustments, equipment settings and chemical additions. It operated alongside automation and advanced process controls.
Results
Takeaway
The reported gains covered the combined improvements. Teck did not isolate the contribution of machine learning.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Teck described operational recommendations based on ore tracking and machine learning. It reported throughput and recovery improvements alongside automation and process-control changes.
Full details are in the original sources.
