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

Autorentext

Dr. Florian Blaschke leitet das Team "Controlling - BI Consulting Data Quality Management" von Lidl. Aktuell beschäftigt sich das Team mit der Sicherung und Verbesserung der Datenqualität, dem Aufbau eines Data Quality Monitorings für die Reporting-Systeme sowie der Einrichtung von transparenten Data Catalogs im Controlling Bereich.

Inhalt
Introduction.- Literature Review.- Objectives.- Materials And Methods Of Dissertation.- Results And Evaluation .- Conclusions And Recommendations.- New Scientific Results.