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


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



von: Florian Blaschke

CHF 106.50

Verlag: Gabler
Format: PDF
Veröffentl.: 12.05.2024
ISBN/EAN: 9783658444532
Sprache: englisch

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Beschreibungen

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
Introduction.- Literature Review.-  Objectives.- Materials And Methods Of Dissertation.-  Results And Evaluation .- Conclusions And Recommendations.- New Scientific Results.
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.
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<div><br></div><div><div>About the author&nbsp;</div><div>Dr. Florian Blaschke gained practical experience as a project coordinator in vehicle development for quality-assured product data management and the digital twin, as well as leading a controlling team in a retail company to ensure and improve the data quality of key figures and reports. He completed his academic career with a bachelor's degree in business administration, a master's degree in industrial engineering and a doctorate in management and organizational sciences with a focus on digital twins, data quality management and decision-making.</div></div><div><br></div>

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