Abstract
The fourth industrial revolution (Industry 4.0) anticipates unplanned changes of production processes. Production changes may trigger synthesis, and preferably optimization, of architecture-level decisions, such as service deployment and composition. Performing such architecture-level decisions manually is difficult due to the ever-rising complexity of Industry 4.0 systems. In order to (semi-)automate the architecture synthesis and optimization, we propose an approach of service deployment and composition by using existing domain models. Our contribution is threefold: (1) We suggest a workflow with domain models for architecture synthesis in the industrial automation. (2) We display the formalization on a part of the workflow and provide an initial prototype of service deployment synthesis using a satisfiability modulo theories (SMT) solver. (3) We envision a way of service composition and code generation, and prototypically implemented it as conclusion of the suggested workflow. We demonstrate the practical use of the proposed approach in the Industry 4.0 scenario, i.e., flexible production of new products. Index Terms—Industry 4.0, IEC 61499, deployment synthesis, service composition, code generation, model-based development.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021 |
| Place of Publication | New York, USA |
| Publisher | IEEE |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728129891 |
| ISBN (Print) | 978-1-7281-2989-1 |
| DOIs | |
| Publication status | Published - Dec 2021 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Volume | 2021-September |
| ISSN (Print) | 1946-0740 |
| ISSN (Electronic) | 1946-0759 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Fields of science
- 202017 Embedded systems
- 102022 Software development
- 102025 Distributed systems
- 102029 Practical computer science
- 202003 Automation
- 202041 Computer engineering
- 102 Computer Sciences
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
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Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Researcher), Fadhlillah, H. (Researcher), Gutierrez, A. (Researcher), Kutsia, E. (Researcher), Sharma, S. (Researcher), Sonnleithner, L. (Researcher), Unterdechler, M. (Researcher), Rabiser, R. (PI) & Zoitl, A. (PI)
01.02.2021 → 31.01.2028
Project: Funded research › CDG - Christian Doppler Forschungsgesellschaft
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