FranceManufacturing2018 – ongoingSKF
Energiency AI energy optimization at Saint-Cyr-sur-Loire
Energiency reported 6% energy savings at SKF's French bearing workshop
Problem
SKF's Saint-Cyr-sur-Loire team had reached a plateau in workshop energy improvements and needed to identify further savings.
Approach
SKF adopted Energiency models for electricity and compressed-air consumption. Real-time overconsumption alerts helped staff identify operational changes. The vendor attributed the savings to better management of production downtime and changes to compressed-air use.
Results
Takeaway
The energy result combined model-based monitoring with changes made by plant staff. It was a workshop result rather than a group-wide reduction.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Goal
- Cost savings
- Evidence
- Vendor case study
Sources
Source summaries
Energiency described SKF's use of electricity and compressed-air models with real-time alerts. Its English slide dated the 6% saving to 2019, while its French slide dated it to 2021. It attributed improvements to downtime management and compressed-air changes.
Full details are in the original sources.