Process Optimization

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See how modeling and prediction changed industrial operating decisions.

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Industrial operator reviewing process screens and model-based operating data

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Evidence worth reading before a technical conversation.

Predictive Control for Condensate Stabilization

Predictive RVP models pulled delayed analyzer readings forward by 30 minutes and calculated reboiler heat setpoints for four stabilization columns.

  • RVP prediction and soft sensing
  • Reboiler heat setpoint calculation
  • Yokogawa DCS integration through OPC

Manufacturing Rework Elimination

Learned models characterized intermediate/subassembly behavior. Combinatorial optimization chose combinations that caused all final assemblies to meet final product requirements.

  • Product property prediction
  • Combinatorial search under requirements
  • Rework reduction from approximately 60% to zero

Virtual Measurement and Production Optimization

Model-based estimates and predictions support operating confidence when direct measurement is incomplete, delayed, unavailable, or unreliable.

  • Soft sensors and virtual measurements
  • Production behavior estimates
  • Decision support for constrained operations