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07.03.2023 | Critical Review

Integrating the digital twin concept into the evaluation of reconfigurable manufacturing systems (RMS): literature review and research trend

verfasst von: Jesus Kombaya Touckia

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2023

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Abstract

With the rapid advent of new information technologies (Big Data analytics, cyber-physical systems, such as IoT, cloud computing and artificial intelligence), digital twins are being used more and more in smart manufacturing. Despite the fact that their use in industry has attracted the attention of many practitioners and researchers, there is still a need for an integrated and comprehensive digital twin framework for reconfigurable manufacturing systems. To close this research gap, we present evidence from a systematic literature review, including 76 papers from high-quality journals. This paper presents the current research trends on evaluation and the digital twin in reconfigurable manufacturing systems, highlighting application areas and key methodologies and tools. The originality of this paper lies in its proposal of interesting avenues for future research on the integration of the digital twin in the evaluation of RMS. The benefits of digital twins are multiple such as evaluation of current and future capabilities of an RMS during its life cycle, early discovery of system performance deficiencies and production optimization. The idea is to implement a digital twin that links the virtual and physical environments. Finally, important issues and emerging trends in the literature are highlighted to encourage researchers and practitioners to develop studies in this area that are strongly related to the Industry 4.0 environment.

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Metadaten
Titel
Integrating the digital twin concept into the evaluation of reconfigurable manufacturing systems (RMS): literature review and research trend
verfasst von
Jesus Kombaya Touckia
Publikationsdatum
07.03.2023
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2023
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-023-10902-7

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