South AfricaManufacturing2023 – ongoingSibanye-Stillwater
Machine-learning load-curtailment optimisation
Sibanye-Stillwater attributed approximately R308 million less curtailment impact to machine-learning optimisation
Problem
Electricity load curtailment disrupted Sibanye-Stillwater's South African operations and imposed financial losses. Managers needed to choose how operations should respond to reduced power availability.
Approach
The South African region developed a load-curtailment optimisation model. It used machine learning to provide prescriptive recommendations for operational decisions. The company attributed a lower financial impact in 2023 than in 2022 to the model.
Results
Takeaway
The reported benefit compared financial impacts across 2 years. The company did not disclose a controlled comparison separating the model's contribution from other changes.
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
Sibanye-Stillwater described a machine-learning model for choosing responses to load curtailment. It attributed approximately R308 million less financial impact in 2023 than in 2022 to the model.
Full details are in the original sources.
