Shared Digital Twins : data sovereignty in logistics networks

Purpose: Digital Twins attract much attention in science and practice, because of their capability to integrate operational data from a wide variety of sources. Thus, providing a complete overview of an asset throughout its entire life cycle. This article develops and demonstrates a Digital Twin, which enables a sovereign and multilat-eral sharing of sensitive IoT data based on proven standards. Methodology: The design described in this paper is developed following the design science research methodology. Current challenges and solution objectives are de-rived from literature and the solution approach is implemented and demonstrated in a central artefact. The findings are evaluated and iterated back into the design of the central artefact. Findings: For multilateral data exchange of sensitive operational data, standards are needed that allow for interoperability of several stakeholders and for providing a se-cure and sovereign data exchange. Therefore, the designs of the Plattform Industrie 4.0 Asset Administration Shell and the International Data Spaces are merged in this contribution. In this way, Digital Twins can be used in cross-company network struc-tures. Originality: Multilateral data sharing is still associated with considerable security risks for the companies providing the data. Therefore, the consideration of data sov-ereignty aspects for Digital Twins is very limited. Furthermore, Digital Twins are sel-dom addressed in the context of cross-company data sharing.

Subjects

logistics

industry 4.0

digitalization

innovation

supply chain management

artificial intelligence

Data science

DDC Class

330: Wirtschaft

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by-sa/4.0/

Name

Haße et al. (2020) - Shared Digital Twins - Data Sovereignty in Logistics Networks.pdf

Size

1.48 MB

Format

Adobe PDF

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Shared Digital Twins : data sovereignty in logistics networks