United KingdomManufacturing2018 – ongoingRio Tinto
Mine Automation System for operational decisions and truck efficiency
Rio Tinto reported its AI-powered Mine Automation System was deployed at 98% of operations in 2018
Problem
Mining equipment generated large volumes of operational data. Operators needed to turn those data into timely decisions about equipment use.
Approach
Rio Tinto deployed its Mine Automation System to combine operational data and apply AI and machine learning. It used truck data to optimise speeds and reduce queuing. Drill data supported more accurate orebody models.
Results
Takeaway
The disclosed coverage figure measured deployment, rather than the size of the productivity gain. Rio Tinto did not quantify the truck-efficiency improvement.
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
Rio Tinto reported that MAS used AI and machine learning and operated at 98% of its operations. It described better truck speeds and shorter queues without quantifying those improvements.
Full details are in the original sources.
