Rio Tinto
Future Scheduling Platform for iron-ore logistics
Rio Tinto reported a 2-fold increase in scheduler productivity from its AI scheduling platform
Problem
Rio Tinto needed to coordinate scheduling across its integrated iron-ore supply chain. Scheduling decisions depended on changing operational data.
Approach
Rio Tinto developed the Future Scheduling Platform with BCG. The optimization engine combined machine learning with real-time data to support supply-chain scheduling.
Results
Takeaway
The reported productivity gain concerned scheduling work. Rio Tinto did not disclose the size of the associated production increase.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
INCITE Awards described Rio Tinto's platform and its collaboration with BCG. Rio Tinto reported a 2-fold increase in scheduler productivity and investment payback in under 3 months.
Full details are in the original sources.