A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics

Z Huang, Y Shen, J Li, M Fey, C Brecher - Sensors, 2021 - mdpi.com
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

A cross-domain systematic mapping study on software engineering for digital twins

M Dalibor, N Jansen, B Rumpe, D Schmalzing… - Journal of Systems and …, 2022 - Elsevier
Digital Twins are currently investigated as the technological backbone for providing an
enhanced understanding and management of existing systems as well as for designing new …

A computer science perspective on digital transformation in production

P Brauner, M Dalibor, M Jarke, I Kunze… - ACM Transactions on …, 2022 - dl.acm.org
The Industrial Internet-of-Things (IIoT) promises significant improvements for the
manufacturing industry by facilitating the integration of manufacturing systems by Digital …

A review of unit level digital twin applications in the manufacturing industry

T Böttjer, D Tola, F Kakavandi, CR Wewer… - CIRP Journal of …, 2023 - Elsevier
In recent years, the hype around Digital Twins (DTs) has been exponentially increasing in
both industry and academia. DTs are a potential solution to increase automation and …

Conceptualizing digital twins

R Eramo, F Bordeleau, B Combemale… - IEEE …, 2021 - ieeexplore.ieee.org
Properly arranging models, data sources, and their relations to engineer digital twins is
challenging. We propose a conceptual modeling framework for digital twins that captures the …

A conceptual model for digital shadows in industry and its application

F Becker, P Bibow, M Dalibor, A Gannouni… - … Conference, ER 2021 …, 2021 - Springer
Smart manufacturing demands to process data in domain-specific real-time. Engineering
models created for constructing, commissioning, planning, or simulating manufacturing …

[HTML][HTML] A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line

M Perno, L Hvam, A Haug - Computers in Industry, 2023 - Elsevier
Digital twins (DTs) are rapidly changing how manufacturing companies leverage the large
volumes of data they generate daily to gain a competitive advantage and optimize their …

Generating customized low-code development platforms for digital twins

M Dalibor, M Heithoff, J Michael, L Netz… - Journal of Computer …, 2022 - Elsevier
A digital twin improves our use of a cyber–physical system and understanding of its
emerging behavior. To this effect, a digital twin is to be developed and configured and …

Process prediction with digital twins

T Brockhoff, M Heithoff, I Koren… - 2021 ACM/IEEE …, 2021 - ieeexplore.ieee.org
Process discovery from event logs as well as process prediction using process models at
runtime are increasingly important aspects to improve the operation of digital twins of …

Towards a model-driven architecture for interactive digital twin cockpits

M Dalibor, J Michael, B Rumpe, S Varga… - … on Conceptual Modeling, 2020 - Springer
Digital twins promise tremendous potential to reduce time and cost in the smart
manufacturing of Industry 4.0. Engineering and monitoring interactive digital twins currently …