DataThink is a data-driven computational solution based on the combination of machine learning and optimisation techniques with numerical simulation to enhance metallic melting processes in furnaces.

• Forschungsstelle: INNOSUISSE
• Projektnummer: 25096.1 PFEN-IW
• Projekttitel Englisch: DataThink: A smart data-driven monitoring tool to enhance performance of industrial melting processes

Kurzbeschreibung (Deutsch)

DataThink is a data-driven computational solution based on the combination of machine learning and optimisation techniques with numerical simulation to enhance metallic melting processes in furnaces.

Kurzbeschreibung (Englisch)

DataThink: A smart data-driven monitoring tool to enhance performance of industrial melting processes

Abstract (Deutsch)

DataThink solution is an innovative way of data-driven optimisation adapted to the industrial processes. The methodology includes both statistical analysis and numerical simulation techniques combined with the LEAN manufacturing approach.This allows for detection of non-conformities and non-productivity items and provides rapid corrective actions. Customers improve productivity and reduce energy consumption of their installations.

Abstract (Englisch)