Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
By Shohin Aheleroff, Xun Xu, Ray Y. Zhong, Yuqian Lu. Advanced Engineering Informatics, 2021
517 citations recorded by the source corpus.
Abstract Recent findings have shown that Digital Twin served multiple constituencies. However, the dilemma between the scope and scale needs a sophisticated reference architecture, a right set of technologies, and a suitable business model. Most studies in the Digital Twin field have only focused on manufacturing and proposed explicit frameworks and architecture, which faced challenges to support different integration levels through an agile process. Besides, no known empirical research has focused on exploring relationships between Digital Twin and mass individualization. Therefore, the principal objective of this study was to identify suitable Industry 4.0 technologies and a holistic reference architecture model to accomplish the most challenging Digital Twin enabled applications. In this study, a Digital Twin reference architecture was developed and applied in an industrial case. Also, Digital Twin as a Service (DTaaS) paradigm utilized for the digital transformation of unique wetlands with considerable advantages, including smart scheduled maintenance, real-time monitoring, remote controlling, and predicting functionalities. The findings indicate that there is a significant relationship between Digital Twin capabilities as a service and mass individualization.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/02c82aa11299dbbb782760c4e0a37e62b3e4b132
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022, background): “…DT implementation attempts so far seem to have been accomplished with the support of a number of common enabling technologies, such as: ML [17], TL [18], distributed computing (i.e., cloud, fog, and edge computing) [19], the (Industrial) Internet of Things (I/IoT) [20], CPS [21], and VR/AR [22].”