Predictive production processes

Predictive production uses soft sensors, multivariate statistical process control, and hybrid first-principles/machine learning models to turn operator know-how into practical, data-driven guidance. In continuous, batch, and hybrid plants, correlated time-series from DCS, PAT, and related systems are analysed in real time to flag deviations early or “just-in time,” predict quality or equipment health, and recommend set-point changes or maintenance windows.

Predictive control keeps units stable as feeds and utilities vary. It operates close to constraints without breaching them, improving on-spec rates, reducing process upsets, and protecting assets.