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Performance monitoring has the main aim to analyze operating process unit efficiencies especially to lower variable costs, increase profitability, and improve the supply chain optimization in terms of enterprise resource planning (ERP), production accounting, and optimal scheduling of maintenances. Nevertheless, the industrial state of the art is based on approximated techniques for data reconciliation and performance monitoring, which make use of the plant historical database and adopt regressive methods to predict trends of future efficiencies, whereas more reliable performance monitoring techniques are needed to obtain an effective ERP. On this subject, the paper shows how the process performance monitoring is fast moving from reacting towards predicting methodologies and proposes a novel promising technique based on unsteady detailed models to tackle this issue.

From Reacting to Predicting Technologies: A Novel Performance Monitoring Technique Based on Detailed Dynamic Models