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Digital Twins, Extended Reality, and Artificial Intelligence in Manufacturing Reconfiguration: A Systematic Literature Review

Mayer, Anjela ORCID iD icon 1; Greif, Lucas ORCID iD icon 1; Häußermann, Tim Markus ; Otto, Simon 2; Kastner, Kevin; El Bobbou, Sleiman 1; Chardonnet, Jean-Rémy ; Reichwald, Julian; Fleischer, Jürgen 2; Ovtcharova, Jivka 1
1 Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
2 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract:

This review draws on a systematic literature review and bibliometric analysis to examine how Digital Twins (DTs), Extended Reality (XR), and Artificial Intelligence (AI) support the reconfiguration of Cyber–Physical Systems (CPSs) in modern manufacturing. The review aims to provide an updated overview of these technologies’ roles in CPS reconfiguration, summarize best practices, and suggest future research directions. In a two-phase process, we first analyzed related work to assess the current state of assisted manufacturing reconfiguration and identify gaps in existing reviews. Based on these insights, an adapted PRISMA methodology was applied to screen 165 articles from the Scopus and Web of Science databases, focusing on those published between 2019 and 2025 addressing DT, XR, and AI integration in Reconfigurable Manufacturing Systems (RMSs). After applying the exclusion criteria, 38 articles were selected for final analysis. The findings highlight the individual and combined impact of DTs, XR, and AI on reconfiguration processes. DTs notably reduce reconfiguration time and improve system availability, AI enhances decision-making, and XR improves human–machine interactions. ... mehr

Zugehörige Institution(en) am KIT Institut für Informationsmanagement im Ingenieurwesen (IMI)
Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2071-1050
KITopen-ID: 1000180305
Erschienen in Sustainability
Verlag MDPI
Band 17
Heft 5
Seiten Art.-Nr. : 2318
Vorab online veröffentlicht am 06.03.2025
Nachgewiesen in Web of Science
OpenAlex
Scopus
Dimensions

Verlagsausgabe §
DOI: 10.5445/IR/1000180305
Veröffentlicht am 24.03.2025
Seitenaufrufe: 9
seit 24.03.2025
Downloads: 1
seit 27.03.2025
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