Smart tech for real-time industrial planning
These are uncertain times for industry, as it navigates survival with geopolitical changes looming, inflation, and supply chain issues.
Chemical Engineering researchers are developing innovative methods to harness machine learning (ML) for industrial applications, helping industries plan production more effectively in the face of unpredictable conditions.
A research group led by Professor Luis Ricardez-Sandoval is using ML methods to train “smart agents” to make production scheduling decisions in chemical and manufacturing systems where there is uncertainty.
The agents are trained through simulations of plant processes that include unexpected events, for example, equipment failure or a sudden change in production demands.