Industry 4.0 Digital Twins: Asset, Process and Enterprise Levels
Explains three levels of digital twins (asset, operational process, enterprise) and how each supports supply chain and manufacturing performance.
Defines asset, supervisory, diagnostic-control and predictive digital twins. Shows how each level uses sensor data, emulation and simulation to monitor assets, optimize processes and support enterprise decisions. Positions digital twins as tools for de-risking investments, improving schedule performance and enabling product-as-a-service models.
Asset twins capture machine and product data to improve design, reliability and predictive maintenance.
Supervisory twins provide visual emulation for process understanding, training and scenario testing.
Diagnostic twins link real-time sensor data to analytics for root-cause identification and control actions.
Predictive twins use discrete-event simulation to evaluate future scenarios and optimize decisions.
Enterprise twins integrate asset and process models to align operational performance with business strategy.
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