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Authors: Philip Stahmann ; Arne Krüger and Bodo Rieger

Affiliation: University of Osnabrueck, Germany

Keyword(s): Digital Twin, Real-time Data Analytics, Industrie 4.0.

Abstract: Digital twins are virtual copies of production systems’ physical components. In Industrie 4.0, they represent a promising opportunity for analysing production data in real-time and contribute to improved production planning and control. However, development of digital twins is challenging for companies due to missing guidance. In this research paper, we identify four maturity levels for digital twins for real-time data analysis based on a structured literature review and a market analysis that resulted in a total of 82 analysed contributions. The results are evaluated through a qualitative interview with four experts from academia and practice. Manufacturing companies can use the maturity levels for self-assessment and as a guideline. Future research can use the maturity levels for integration into holistic maturity models.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Stahmann, P., Krüger, A. and Rieger, B. (2021). Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity. In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL; ISBN 978-989-758-535-7, SciTePress, pages 123-130. DOI: 10.5220/0010688700003062

@conference{in4pl21,
author={Philip Stahmann and Arne Krüger and Bodo Rieger},
title={Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity},
booktitle={Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL},
year={2021},
pages={123-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010688700003062},
isbn={978-989-758-535-7},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL
TI - Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity
SN - 978-989-758-535-7
AU - Stahmann, P.
AU - Krüger, A.
AU - Rieger, B.
PY - 2021
SP - 123
EP - 130
DO - 10.5220/0010688700003062
PB - SciTePress

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