South KoreaManufacturing2022 – ongoingNexen Tire
Machine-learning performance prediction during tire concept design
Nexen Tire used machine learning to predict tire performance before making prototypes
Problem
Evaluating tire designs through prototypes and vehicle tests required time and expense. Developers needed earlier estimates of performance while choosing concepts.
Approach
Nexen Tire built a machine-learning performance prediction system in 2022. It developed and validated algorithms using accumulated test data. Developers used the system to predict properties including fuel efficiency and noise during concept design.
Results
No published figures
Takeaway
The company described an operating prediction system separately from its planned driving simulator. It did not quantify the system's development-time or cost savings.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Nexen Tire described its existing machine-learning system for predicting tire performance, built in 2022 using historical test data. The release separately announced a driving-simulator purchase and discussed future explainable-AI development.
Full details are in the original sources.
