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2021 | OriginalPaper | Chapter

Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach

Authors : Judith Michael, Andreas Wortmann

Published in: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Publisher: Springer International Publishing

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Abstract

Digital Twins in smart manufacturing must be highly adaptable for different challenges, environments, and system states. In practice, there is a need for enabling the configuration of Digital Twins by domain experts. Low-code approaches seem to be a meaningful solution for configuration purposes but often lack extension options. We propose a model-driven low-code approach for the configuration and reconfiguration of Digital Twins using language plugins. This approach uses model-driven software engineering and software language engineering methods to derive a configurable digital twin implementation. Moreover, we discuss some remaining challenges such as interoperability, language modularity, evolution, integration of assistive services, collaborative development, and web-based debugging.

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previous chapter A Digital Twin-Driven Methodology for Material Resource Planning Under Uncertainties

next chapter A Low-Code Development Environment to Orchestrate Model Management Services

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Title: Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach
Authors: Judith Michael
Andreas Wortmann
Publisher: Springer International Publishing
Book: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
Print ISBN: 978-3-030-85873-5

Electronic ISBN: 978-3-030-85874-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-85874-2_35

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