Digital Twin is a concept that refers to a virtual representation of manufacturing elements suchas personnel, products, assets and process definitions, a living model that continuously updatesand changes as the physical counterpart changes to represent status, working conditions, productgeometries and resource states in a synchronous manner [1]. The digital representation providesboth the elements and the dynamics of how a physical part operates and lives throughout its lifecycle.In recent years, digital twin caught the attention of many researchers, who investigated its adoptionin various fields. In this thesis, we report on the planning, execution and results of a systematicmapping study to examine the current application of the digital twin, its research relevance, application domains, enabling technologies and perceived benefits. We start from an initial set of 675publications and through a rigorous selection process we obtain a final set of 29 primary studies.Using a classification framework, we extract relevant data. We analyse the extracted data usingboth quantitative and qualitative analyses using vertical and orthogonal analysis techniques.This work is aimed to investigate the current achievements of Digital Twin with the focus on revealing technologies it uses, its applications and benefits it offers by implementing it as well aspublication details.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-55636 |
| Date | January 2021 |
| Creators | Guzina, Luka |
| Publisher | Mälardalens högskola, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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