Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0

Stefan Braun; Manuela Dalibor; Niko Jansen; Matthias Jarke; Istvan Koren; Christoph Quix; Bernhard Rumpe; Manuel Wimmer; Andreas Wortmann

doi:10.1007/978-3-662-65004-2_1

Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0

Stefan Braun, Manuela Dalibor, Niko Jansen, Matthias Jarke, Istvan Koren, Christoph Quix, Bernhard Rumpe, Manuel Wimmer, Andreas Wortmann

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Industry 4.0 opens up new potentials for the automation and improvement of production processes, but the associated digitization also increases the complexity of this development. Monitoring and maintenance activities in production processes still require high manual effort and are only partially automated due to immature data aggregation and analysis, resulting in expensive downtimes, inefficient use of machines, and too much production of waste. To maintain control over the growing complexity and to provide insight into the production, concepts such as Digital Twins, Digital Shadows, and model-based systems engineering for Industry 4.0 emerge. Digital Shadows consist of data traces of an observed Cyber-Physical Production System. Digital Twins operate on Digital Shadows to enable novel analysis, monitoring, and optimization. We present a general overview of the concepts of Digital Twins, Digital Shadows, their usage and realization in Data Lakes, their development based on engineering models, and corresponding engineering challenges. This provides a foundation for implementing Digital Twins, which constitute a main driver for future innovations in Industry 4.0 digitization.

Original language	English
Title of host publication	Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023
Editors	Digital Transformation
Publisher	Vieweg, Berlin, Heidelberg
Pages	3-31
Number of pages	29
ISBN (Print)	978-3-662-65003-5
DOIs	https://doi.org/10.1007/978-3-662-65004-2_1
Publication status	Published - Feb 2023

Fields of science

102006 Computer supported cooperative work (CSCW)
102015 Information systems
102016 IT security
102020 Medical informatics
102022 Software development
102027 Web engineering
102034 Cyber-physical systems
509026 Digitalisation research
102040 Quantum computing
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-662-65004-2_1

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Researcher), Gemeinhardt, F. (Researcher), Govindasami, H. S. (Researcher), Jayaraman, R. (Researcher), Mitter, A. (Researcher), Sindelar, R. (Researcher), Sint, S. (Researcher), Taspinar, B. (Researcher) & Wimmer, M. (PI)
01.01.2017 → 31.12.2023
Project: Funded research › Other sponsors

Cite this

Braun, S., Dalibor, M., Jansen, N., Jarke, M., Koren, I., Quix, C., Rumpe, B., Wimmer, M., & Wortmann, A. (2023). Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. In Digital Transformation (Ed.), Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023 (pp. 3-31). Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-65004-2_1

Braun, Stefan ; Dalibor, Manuela ; Jansen, Niko et al. / Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023. editor / Digital Transformation. Vieweg, Berlin, Heidelberg, 2023. pp. 3-31

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abstract = "Industry 4.0 opens up new potentials for the automation and improvement of production processes, but the associated digitization also increases the complexity of this development. Monitoring and maintenance activities in production processes still require high manual effort and are only partially automated due to immature data aggregation and analysis, resulting in expensive downtimes, inefficient use of machines, and too much production of waste. To maintain control over the growing complexity and to provide insight into the production, concepts such as Digital Twins, Digital Shadows, and model-based systems engineering for Industry 4.0 emerge. Digital Shadows consist of data traces of an observed Cyber-Physical Production System. Digital Twins operate on Digital Shadows to enable novel analysis, monitoring, and optimization. We present a general overview of the concepts of Digital Twins, Digital Shadows, their usage and realization in Data Lakes, their development based on engineering models, and corresponding engineering challenges. This provides a foundation for implementing Digital Twins, which constitute a main driver for future innovations in Industry 4.0 digitization.",

author = "Stefan Braun and Manuela Dalibor and Niko Jansen and Matthias Jarke and Istvan Koren and Christoph Quix and Bernhard Rumpe and Manuel Wimmer and Andreas Wortmann",

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Braun, S, Dalibor, M, Jansen, N, Jarke, M, Koren, I, Quix, C, Rumpe, B, Wimmer, M & Wortmann, A 2023, Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. in Digital Transformation (ed.), Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023. Vieweg, Berlin, Heidelberg, pp. 3-31. https://doi.org/10.1007/978-3-662-65004-2_1

Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. / Braun, Stefan; Dalibor, Manuela; Jansen, Niko et al.
Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023. ed. / Digital Transformation. Vieweg, Berlin, Heidelberg, 2023. p. 3-31.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0

AU - Braun, Stefan

AU - Dalibor, Manuela

AU - Jansen, Niko

AU - Jarke, Matthias

AU - Koren, Istvan

AU - Quix, Christoph

AU - Rumpe, Bernhard

AU - Wimmer, Manuel

AU - Wortmann, Andreas

PY - 2023/2

Y1 - 2023/2

N2 - Industry 4.0 opens up new potentials for the automation and improvement of production processes, but the associated digitization also increases the complexity of this development. Monitoring and maintenance activities in production processes still require high manual effort and are only partially automated due to immature data aggregation and analysis, resulting in expensive downtimes, inefficient use of machines, and too much production of waste. To maintain control over the growing complexity and to provide insight into the production, concepts such as Digital Twins, Digital Shadows, and model-based systems engineering for Industry 4.0 emerge. Digital Shadows consist of data traces of an observed Cyber-Physical Production System. Digital Twins operate on Digital Shadows to enable novel analysis, monitoring, and optimization. We present a general overview of the concepts of Digital Twins, Digital Shadows, their usage and realization in Data Lakes, their development based on engineering models, and corresponding engineering challenges. This provides a foundation for implementing Digital Twins, which constitute a main driver for future innovations in Industry 4.0 digitization.

AB - Industry 4.0 opens up new potentials for the automation and improvement of production processes, but the associated digitization also increases the complexity of this development. Monitoring and maintenance activities in production processes still require high manual effort and are only partially automated due to immature data aggregation and analysis, resulting in expensive downtimes, inefficient use of machines, and too much production of waste. To maintain control over the growing complexity and to provide insight into the production, concepts such as Digital Twins, Digital Shadows, and model-based systems engineering for Industry 4.0 emerge. Digital Shadows consist of data traces of an observed Cyber-Physical Production System. Digital Twins operate on Digital Shadows to enable novel analysis, monitoring, and optimization. We present a general overview of the concepts of Digital Twins, Digital Shadows, their usage and realization in Data Lakes, their development based on engineering models, and corresponding engineering challenges. This provides a foundation for implementing Digital Twins, which constitute a main driver for future innovations in Industry 4.0 digitization.

U2 - 10.1007/978-3-662-65004-2_1

DO - 10.1007/978-3-662-65004-2_1

M3 - Chapter

SN - 978-3-662-65003-5

SP - 3

EP - 31

BT - Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023

A2 - Digital Transformation, null

PB - Vieweg, Berlin, Heidelberg

ER -

Braun S, Dalibor M, Jansen N, Jarke M, Koren I, Quix C et al. Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. In Digital Transformation, editor, Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0, in: Vogel-Heuser, B., Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg, pages 3-31, February 2023. Vieweg, Berlin, Heidelberg. 2023. p. 3-31 doi: 10.1007/978-3-662-65004-2_1

Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0

Abstract

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this