MMG Limited
AI-assisted flotation control at Dugald River
MMG said its Dugald River AI control system repaid its investment in less than 3 months
Problem
Dugald River wanted to improve zinc recovery beyond the gains achieved through conventional operating methods. Flotation settings needed to respond to changes in incoming ore.
Approach
MMG worked with Hatch to develop a digital twin of the flotation process. The system combined process models with machine learning and automatically adjusted plant operations in real time. MMG reported improved recovery and profitability after a year of operation.
Results
Takeaway
The system adjusted the operating process directly. MMG reported rapid payback but did not disclose the investment amount or the size of the recovery gain.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
MMG described a flotation-control system developed with Hatch and commissioned a year earlier. It reported increased zinc recovery and profitability, with investment recovered in less than 3 months.
Full details are in the original sources.