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

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Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management is written by Florian Blaschke and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3658444533 (ISBN 10) and 9783658444532 (ISBN 13).

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