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Digital twin implementations offer several methodological advantages: Predictive Simulation: Virtual testing of process modifications reduces validation costs and implementation risks System-Level Analysis: Modeling interconnected processes identifies cascade effects and hidden dependencies Continuous Calibration: Real-time data integration improves prediction accuracy iteratively Risk-Free Experimentation: Radical process improvements can be evaluated virtually before implementation NLP-based pattern recognition Advanced natural language processing (NLP) techniques enable sophisticated pattern recognition in quality data

Hammal, F., de Langen, P., Bergon, A., Lopez, F