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Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management

Bag om Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management

Digital twin technology is becoming important for the realization of Industry 4.0 using cyber-physical systems (CPS) and information technology. CPS form the backbone to support the creation of a network for decentralized and autonomous decision-making. The design principles for Industry 4.0 serve as guidelines for virtualization concepts that are virtual copies of the physical world and create a link between the real and virtual worlds to collect data and monitor processes, the so-called digital twin. In this book, a theoretical digital twin-driven decision-making model has been developed that combines corporate data quality management, a process digital twin, and a model-driven decision support system. It leverages the benefits of the digital twin to create, test and build a process in the virtual world that supports decision making by combining data, analytics and visualization of insights to help managers make better decisions

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783658444525
  • Indbinding:
  • Paperback
  • Udgivet:
  • 14. April 2024
  • Størrelse:
  • 148x210x11 mm.
  • Vægt:
  • 263 g.
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Leveringstid: 2-3 uger
Forventet levering: 4. Juni 2024

Beskrivelse af Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management

Digital twin technology is becoming important for the realization of Industry 4.0 using cyber-physical systems (CPS) and information technology. CPS form the backbone to support the creation of a network for decentralized and autonomous decision-making. The design principles for Industry 4.0 serve as guidelines for virtualization concepts that are virtual copies of the physical world and create a link between the real and virtual worlds to collect data and monitor processes, the so-called digital twin. In this book, a theoretical digital twin-driven decision-making model has been developed that combines corporate data quality management, a process digital twin, and a model-driven decision support system. It leverages the benefits of the digital twin to create, test and build a process in the virtual world that supports decision making by combining data, analytics and visualization of insights to help managers make better decisions

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