Evaluating and enhancing process performance is challenging due to the complexities of creating a reliable historical database and defining effective methodologies for data transformation. Viridis Process addresses these challenges by supporting decision-making in continuous improvement and real-time operations. It enables predictive analyses that simulate performance KPIs under various conditions. The system generates a centralized database of equipment performance linked to operational conditions and best practices. Additionally, it conducts statistical analyses and simulations, providing accurate estimations for each heat, batch, or working cycle in real-time. This capability allows for corrective actions when deviations occur, along with predictive alerts and operational guidance for process operators. By streamlining the analysis process, Viridis Process enables engineers to concentrate on identifying root causes and driving process improvements.

Customer challenges addressed

  • Reduced time for data processing​​​​​​​
  • Ability to identify and intervene in suboptimal process execution conditions
  • Improved process execution and consistency with reduced outliers and fewer operational problems
  • Improved energy & resource efficiency without equipment modification nor production disruption