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Towards Reconfigurable Cyber-Physical-Human Systems: Leveraging Mixed Reality and Digital Twins to integrate Human Operations

Mayer, Anjela ORCID iD icon 1; Kastner, Kevin; Mühlbeier, Edgar ORCID iD icon 2; Chardonnet, Jean-Rémy; Reichwald, Julian; Puchta, Alexander 2; 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:

The agility to swiftly and efficiently reconfigure manufacturing systems is crucial in today’s rapidly evolving market demands. Traditional recon-figuration operations often fall short, presenting non-intuitive and error-prone tasks for human operators, without the aid of systematic approaches or supportive technologies. This gap not only complicates the reconfiguration process but also significantly increases the risk of errors. In response, we introduce a novel approach that integrates Mixed Reality and Digital Twins within Cyber-Physical Systems to address these challenges. This enhances the human element in manufacturing reconfigurations by facilitating intuitive trajectory planning for robot (re)programming and comprehensive documentation of physical processes, including human operations. The design and implementation of the approach aim to significantly enhance manufacturing reconfigurations by reducing downtime, complexity, and human error. Further, the paper outlines directions for future work, including comprehensive system validation within a Cyber-Physical-Human manufacturing system, emphasizing the critical role of human operators in the reconfiguration process and the potential for technology to address traditional shortcomings.

Zugehörige Institution(en) am KIT Institut für Informationsmanagement im Ingenieurwesen (IMI)
Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000179100
Erschienen in Procedia CIRP
Verlag Elsevier
Band 130
Seiten 524 – 531
Bemerkung zur Veröffentlichung 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024).

Peer-review under responsibility of the scientific committee of the 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024)
Vorab online veröffentlicht am 27.11.2024
Nachgewiesen in Scopus
Dimensions
OpenAlex

Verlagsausgabe §
DOI: 10.5445/IR/1000179100
Veröffentlicht am 17.02.2025
Originalveröffentlichung
DOI: 10.1016/j.procir.2024.10.124
Dimensions
Zitationen: 1
Seitenaufrufe: 19
seit 17.02.2025
Downloads: 6
seit 19.02.2025
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