Abstract

The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different over the disparate disciplines. The aim of this paper is to provide a categorical literature review of the DT in manufacturing and to classify existing publication according to their level of integration of the DT. Therefore, it is distinct between Digital Model (DM), Digital Shadow (DS) and Digital Twin. The results are showing, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS.

Keywords

Categorical variableEnablingKey (lock)Computer scienceDigital transformationShadow (psychology)Term (time)PsychologyMachine learningWorld Wide Web

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Publication Info

Year
2018
Type
article
Volume
51
Issue
11
Pages
1016-1022
Citations
2727
Access
Closed

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Cite This

Werner Kritzinger, Matthias Karner, Georg Traar et al. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine , 51 (11) , 1016-1022. https://doi.org/10.1016/j.ifacol.2018.08.474

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DOI
10.1016/j.ifacol.2018.08.474

Data Quality

Data completeness: 86%