Characterising the Digital Twin: A systematic literature review
By David Edward Jones, Chris Snider, Aydin Nassehi, Jason Yon, Ben J. Hicks. CIRP - Journal of Manufacturing Science and Technology, 2020
1,875 citations recorded by the source corpus.
Abstract While there has been a recent growth of interest in the Digital Twin, a variety of definitions employed across industry and academia remain. There is a need to consolidate research such to maintain a common understanding of the topic and ensure future research efforts are to be based on solid foundations. Through a systematic literature review and a thematic analysis of 92 Digital Twin publications from the last ten years, this paper provides a characterisation of the Digital Twin, identification of gaps in knowledge, and required areas of future research. In characterising the Digital Twin, the state of the concept, key terminology, and associated processes are identified, discussed, and consolidated to produce 13 characteristics (Physical Entity/Twin; Virtual Entity/Twin; Physical Environment; Virtual Environment; State; Realisation; Metrology; Twinning; Twinning Rate; Physical-to-Virtual Connection/Twinning; Virtual-to-Physical Connection/Twinning; Physical Processes; and Virtual Processes) and a complete framework of the Digital Twin and its process of operation. Following this characterisation, seven knowledge gaps and topics for future research focus are identified: Perceived Benefits; Digital Twin across the Product Life-Cycle; Use-Cases; Technical Implementations; Levels of Fidelity; Data Ownership; and Integration between Virtual Entities; each of which are required to realise the Digital Twin.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/8d8b5e4d2c63463d153bf21a2a4a9b68a0153699
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Industrial applications of digital twins (2021, background): “In review-type articles [3,18,23,25] and references therein.”
- Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis (2022, background): “…and visualization studies related to Metaverse (Zhao et al., 2022); virtual commerce from both application design and consumer behaviour in Metaverse (Shen et al., 2021), digital twin (Cimino et al., 2019; Jones et al., 2020; Liu et al., 2021), 3D virtual worlds (Dionisio et al., 2013).”
- Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment (2021, background): “Future work should focus on designing and examining innovative DTs to present useful benchmarks for practitioners and scholars [34].”
- A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, background): “Aiming to reduce the risk of diluting the digital twin concept by a large number of definitions, efforts have been made in recent years to consolidate digital twin definitions and terminologies in several review papers (Barricelli et al. 2019; Jones et al. 2020; VanDerHorn and Mahadevan 2021; Liu et”
- Digital twin, physics-based model, and machine learning applied to damage detection in structures (2020, background): “ral dynamic problems, such as wind turbine dynamics and drill string dynamics, operating in locations of difficult access and harsh environments. There is no consolidated view on what digital twins are [2, 3, 4]. However, it is consensual that a digital twin is a virtual representation of a specific ph”