FranceManufacturing2024 – ongoingSaint-Gobain
Predictive models for fiberglass furnace operation
Saint-Gobain reported automatic furnace adjustments using predictive models at some plants
Problem
Fiberglass production required furnace settings that controlled energy consumption and waste while avoiding quality defects.
Approach
Saint-Gobain's High Performance Solutions businesses used predictive models to optimize fiberglass furnaces. Its innovation CIO said automatic parameter adjustment was operating in some plants. The company reported lower energy consumption and less waste without quantifying either reduction.
Results
No published figures
Takeaway
Automatic control was operating at selected plants, but Saint-Gobain did not disclose plant-level savings.
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
Saint-Gobain described predictive modeling already used in fiberglass furnace operations. Its innovation CIO confirmed automatic parameter adjustment at some plants, and the company reported lower energy use and waste without numerical results.
Full details are in the original sources.