Michael Sandberg

Aarhus University

Papers

1

Total Citations

54

H-Index

1

About

Michael Sandberg is a leading scholar in industrial digitalization, with his research squarely focused on the transformative potential of Industry 4.0 and Digital Twin (DT) technologies. His most cited work, "Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms" (2022, 54 citations), provides a critical framework for understanding how real-time digital models can enable self-diagnosis, self-optimization, and self-configuration in manufacturing systems. Sandberg’s major contribution lies in addressing a key barrier to DT adoption: the complexity of creating and reusing digital models. By proposing a classification system and authoring methodology, he has made these advanced tools more accessible, particularly for established firms navigating the fourth industrial revolution. His work highlights the tension between innovation and the risk of widening the gap between industry leaders and laggards. Sandberg’s research is essential reading for engineers and strategists seeking to harness DTs for smarter, more autonomous production, and his insights continue to shape the practical implementation of digitalization in modern factories.

Research Focus

Key Achievements

1
H-Index
1
Papers
54
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms
54 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Aarhus University

Top Papers

  1. 1

Key Collaborators

Contact & Links

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