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Research in manufacturing quality control demonstrates how Asset Administration Shell (AAS) frameworks combined with LLMs enable interoperable information modeling for zero defect strategies ( The application of digital twins specifically within quality engineering contexts emphasizes the role of statistics in connecting virtual and physical systems, with implementations demonstrating versatility across manufacturing domains ( Complementing these engineering-derived digital twin approaches, recent work has proposed a systematic framework for integrating mathematical modelingincluding machine learning, knowledge graphs, and digital twinsdirectly into healthcare quality assessment ( ad hoc metrics

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