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- Author: Florian Blaschke
- Publisher: Springer Gabler
- ISBN-10: 3658444525
- ISBN-13: 9783658444525
- Format: 14.8 x 21 x 1.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management (e-book) (used book) | bookbook.eu
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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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- Author: Florian Blaschke
- Publisher: Springer Gabler
- ISBN-10: 3658444525
- ISBN-13: 9783658444525
- Format: 14.8 x 21 x 1.1 cm, minkšti viršeliai
- Language: English English
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
Reviews