Process Entropy

The Molecule: Process Entropy

• Concept: The aggregate force that pulls a model's accuracy toward zero over time.

• Constituent Atoms:

  1. Physical Drift: The plant rots (fouling, catalyst decay).

  2. Digital Drift: The map changes (tags renamed, firmware updates).

  3. The Retraining Imperative: The strategic requirement to treat models as disposable.

Process Entropy is the inevitable degradation of model accuracy in industrial environments caused by physical changes (fouling, catalyst decay, weather) and digital drift (tag renaming, firmware updates). Unlike static datasets in finance or tech, the "ground truth" of a chemical plant is a moving target. Therefore, an industrial AI model is not a finished product but a decaying asset that requires continuous, automated retraining infrastructure to remain valid.