Ma'aden
Redshell AI and digital prediction for aluminium pot monitoring
Ma'aden reported up to 40% fewer manual pot measurements after a programme that included Redshell AI
Problem
Ma'aden's aluminium smelter needed to monitor pot condition while managing manual measurement work. The operating team also sought to improve predictions and extend pot life.
Approach
Ma'aden deployed the Redshell AI model alongside a digital twin project for pot shell prediction. The wider programme also included an ALPSYS upgrade and changes to electrical operations. The company attributed fewer manual measurements to these combined initiatives.
Results
Takeaway
The reduction covered a package of digital and operating changes. Ma'aden did not isolate the contribution of Redshell AI.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Ma'aden reported deployment of Redshell AI within a broader aluminium reduction programme. It credited the combined initiatives with reducing manual pot measurements by up to 40 percent and improving predictive accuracy.
Full details are in the original sources.