M.Sc. Paula Hünecke
M.Sc. Paula Hünecke
Production Systems and Automation (IEPS)
Paula Hünecke studied industrial engineering at Otto von Guericke University Magdeburg, specialising in production technology. In her Master's degree, she changed to the specialisation Production Systems and completed her studies there in 2022. From October 2021 to November 2022, she worked as a auxiliary scientist at the IAF and has been employed as a research assistant at the IAF since December 2022.
Current projects
Digital twins for sustainable and resilient production systems - NaRePro
Duration: 01.01.2025 bis 31.12.2027
Sustainability and resilience are important optimization goals for modern production systems. This requires digital twins that enable a modern life cycle assessment of all objects in production systems (products, processes and resources), e.g. on the basis of AI. Existing digital twins were developed for specific use cases and problems and are not generally applicable. In order to enable their use in the digitalization of companies, neutral and cross-application information models, implementation strategies and usage processes for digital twins are needed that enable the optimization of production systems with regard to sustainability and resilience aspects. The NaRePro project aims to close this gap. The basic objectives of the project are (a) the harmonized design of the structure of digital twins for sets of complementary use cases, (b) the definition and prototypical implementation of a creation and usage process for these digital twins, © the application of (a) and (b) to the various use cases in order to be able to improve the effectiveness, efficiency, changeability and sustainability of production systems in particular on the basis of sustainability assessments, and (d) the standardization of the relevant elements of the developed solutions together with IDTA and AutomationML e.V..
The project is funded by the European Regional Development Fund (ERDF) for the project period from 2025 to 2027.
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Digital plant modeling with neutral data formats (DIAMOND) Subproject: Consistent, process-oriented data models in the engineering of production systems (KPDM)
Duration: 01.11.2022 bis 31.10.2025
When new products are introduced, existing production systems have to be expanded or modified. New manufacturing processes are derived from new products, which are implemented either manually or using plant technology. This system technology (resources) is therefore directly linked to changes to the product and process. The plant life cycle contains a large number of individual data-processing processes in various engineering disciplines, many of which are design processes. Each of these disciplines already works with digital models. The individual steps build on each other and each discipline consumes information from the previous process. Currently, this information is usually transferred manually, which takes a lot of time and leads to an increased number of errors. This also applies to the entire ecosystem, in which component manufacturers, for example, extract the relevant information from their own engineering and make it available to the entire value chain. However, the current speed of transformation in the automotive industry no longer allows for long project runtimes and negative quality influences. It is therefore necessary to make changes available to all those involved in the process in a timely manner and to enable a common "picture" via an efficient exchange of information. The main objective of the OvGU within the DIAMOND-KPDM project is the development and application demonstration of a procedure for the application-specific creation and use of a system of coordinated domain-specific and cross-domain data models, the so-called Common Data Model, which enables an efficient and effective design of production systems through an efficient and effective transformation, integration and selection of design data.
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2024
Book chapter
Enhancing production system conceptualization with PPR modeling
Hoffmann, David; Gudder, Ranjitkumar; Hünecke, Paula; Lüder, Arndt
In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2024 - [Piscataway, NJ] : IEEE, insges. 8 S. [Konferenz: IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA, Padova, Italy, 10-13 September 2024]
AutomationML-based risk modeling for decision support in engineering lifecycles
Hünecke, Paula; Binder, Christoph; Hoffmann, David; Lüder, Arndt
In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2024 - [Piscataway, NJ] : IEEE, insges. 6 S. [Konferenz: IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA, Padova, Italy, 10-13 September 2024]
Rolling the dice - rethinking the RAMI 4.0 perspectives
Meixner, Kristof; Hoffmann, David; Riedmann, Sarah; Hünecke, Paula; Binder, Christoph
In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2024 - [Piscataway, NJ] : IEEE, insges. 8 S. [Konferenz: IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA, Padova, Italy, 10-13 September 2024]
Integrated engineering data transformation - an AutomationML-based approach for efficient data exchange
Gudder, Ranjitkumar; Hoffmann, David; Hünecke, Paula; Lüder, Arndt
In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2024 - [Piscataway, NJ] : IEEE, insges. 4 S. [Konferenz: IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA, Padova, Italy, 10-13 September 2024]
2023
Book chapter
Facilitating FMEA investigation of industrial systems during basic engineering with RAMI 4.0
Hünecke, Paula; Binder, Christoph; Hoffmann, David; Lüder, Arndt; Neureiter, Christian
In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2023 - [Piscataway, NJ] : IEEE, insges. 7 S. [Konferenz: IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA, Sinaia, Romania, 12-15 September 2023]
Consistent extension of networks of digital representations of production system assets
Lüder, Arndt; Hoffmann, David; Meixner, Kristof; Hünecke, Paula; Biffl, Stefan
In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2023 - [Piscataway, NJ] : IEEE, insges. 4 S. [Konferenz: IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA, Sinaia, Romania, 12-15 September 2023]
Towards case-based reuse of FMEA models for complex production systems
Hoffmann, David; Hünecke, Paula; Lüder, Arndt; Biffl, Stefan
In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) / IEEE International Conference on Emerging Technologies and Factory Automation , 2023 - [Piscataway, NJ] : IEEE, insges. 4 S. [Konferenz: IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA, Sinaia, Romania, 12-15 September 2023]
Towards flexible production systems engineering according to RAMI 4.0 by utilizing PPR notation
Binder, Christoph; Hünecke, Paula; Neureiter, Christian; Lüder, Arndt
In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) / IEEE International Conference on Industrial Informatics , 2023 - [Piscataway, NJ] : IEEE, insges. 6 S. [Konferenz: IEEE 21st International Conference on Industrial Informatics, INDIN, Lemgo, Deutschland, 18 - 20 July 2023]