Mathematical Optimization, AI, Machine Learning

AI-Based Production

Merging Math, AI, ML With Process Expertise

Conventional production planning and process optimization are based on heuristic modeling and rigid rule sets. The potential of this approach has been exhausted. More complex aspects of steel manufacturing cannot be modeled appropriately using this approach.

From the software architecture standpoint, the steel industry is under-served with good software products, which really fit the industry's requirements.

To further improve productivity and quality, to minimize energy and CO2 inefficiencies modern, mathematical modeling techniques need to be applied. These must be implemented into a modern system architecture. The software has to model the specific requirements of steel manufacturing.

Huge amounts of time series data, two-dimensional patterns, image and audio data, as well as structured data buried in legacy systems needs to be linked across all production steps. Getting the semantic interpretation right requires thorough process knowhow.

Smart Steel Technologies's software systems are purpose-built for the steel industry. This includes advanced, scalable mass storage technology as well as modern messaging protocols, fast in-memory processing, and specialized services such as mathematical solver technology.

On top of SST's core infrastructure, mission-critical systems for production planning and scheduling, for online process optimization and for offline process analysis are being implemented.

SST's technology has proven its robustness in 24/7 operation at leading steel manufacturers since 2019.


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