Biffl, S., Meixner, K., Hoffmann, D., Musil, J., Rahmani, H., & Lüder, A. (2022). Towards Coordinating Production Reconfiguration. In 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1–4). IEEE. https://doi.org/10.1109/ETFA52439.2022.9921665
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
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ISBN:
9781665499965
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Volume:
2022-September
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Date (published):
Sep-2022
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Event name:
27th International Conference on Emerging Technologies and Factory Automation (ETFA)
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Event date:
6-Sep-2022 - 9-Sep-2022
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Event place:
Stuttgart, Germany
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Number of Pages:
4
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Publisher:
IEEE
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Peer reviewed:
Yes
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Keywords:
dependency management; Industry 4.0 component; Production Systems Engineering; VDI 3695-3
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Abstract:
The engineering of production systems requires capabilities for the coordinated reconfiguration between production variants, i.e., Product-Process-Resource (PPR) variants with multi-disciplinary dependencies. However, traditional approaches to coordinate reconfiguration, e.g., scripted workflows, consider production dependencies implicitly and require validation regarding multi-disciplinary PPR dependencies. This vision paper explores knowledge representation to coordinate production re-configuration with Industry 4.0 components. For validating pre-and post-conditions of a flexible, coordinated reconfiguration process, we introduce the PPR Asset Network with Reconfiguration (PAN+R) approach, which builds on the PPR Asset Network (PAN) to represent PPR model variants with their dependencies and states in transition between variants. We initially evaluate the PAN+R approach with a use case on a work cell for joining car parts. We conclude with a research agenda towards coordinating production reconfiguration with human and machine agents.
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Project title:
Verbesserung der Sicherheit von Informationsprozessen in Produktionssystemen: CDL SQI (CDG Christian Doppler Forschungsgesellschaft; CDG Christian Doppler Forschungsgesellschaft)
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Project (external):
FFG
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Project ID:
contract 881843
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Research Areas:
Computer Engineering and Software-Intensive Systems: 50% Information Systems Engineering: 50%