M.Sc. David Hoffmann

Research Assistant

M.Sc. David Hoffmann

Institute for Engineering of Products and Systems (IEPS)
Production Systems and Automation (IEPS)

Universitätsplatz 2, 39106 Magdeburg, G10-418

Tel.: +49 391 67-57569 Fax: +49 391 67-42404

david.hoffmann@ovgu.de
Homepage

Vita

David Hoffmann studied mechanical engineering at Otto von Guericke University Magdeburg, specialising in automotive systems. In his Master's degree, he switched to the Digital Engineering programme at the Faculty of Computer Science and completed his studies there in 2022. After working on industrial projects at the IAF from April 2020 to January 2022, he has been employed as a research assistant at the IAF since February 2022.

Projects

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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PMV-based analytics for knowledge-driven manufacturing (PMV4Analytics)
Duration: 28.06.2021 bis 30.06.2025

The design of production systems generates a large amount of information that is relevant for the optimal use of the production systems, but is not used today for reasons of the necessary information processing and transfer. The project aims to tackle this problem. Based on cross-engineering process information modeling and a suitable design of system components, a method for the joint acquisition, processing and analysis of engineering and runtime data and its exemplary application in several use cases will be developed.

Sponsor

FFG Austria via the Austrian Center for Digital Production (CDP)

Cooperations

Volkswagen

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Completed projects

Workflow automation in order processing in technical sales
Duration: 01.07.2023 bis 31.03.2024

The aim of the project is to identify possibilities for the systematic automation of order processing in a medium-sized steel construction company in the field of special machine construction. Based on the product-process-resource modeling method and using the internationally standardized storage format AutomationML, the project will investigate how the automated step-by-step creation and execution of sales documents and production plans can be carried out on the basis of a detailed design. On the one hand, all important factors for a medium-sized company with regard to economic, qualitative, personnel-related and technological factors are to be taken into account and, on the other hand, simple applicability by management personnel is to be made possible.

To validate the automation options identified, a software prototype is to be developed with which the partner company can test the procedures and data models developed with regard to their practical applicability.
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Behavioral analysis of flexible components for handle-in-the-box systems
Duration: 01.06.2023 bis 31.12.2023

The aim of the project is to research the behavior of flexible parts in robot-based grip-in-the-box (rGiK). RGiK applications for rigid components, especially metal parts, have been realized in research and are in the early stages of application in the automotive industry. They are based on the reliable detection of the position of the workpieces to be handled, which then enables precise gripping. The fixed shape of the component to be handled plays an important role here, enabling pattern matching for position detection.

Flexible components do not have these stability properties. Their position cannot be detected by simple pattern matching. The research project will evaluate how the detection and handling systems must be controlled in order to enable rGiK for flexible parts and where current hardware and software limitations exist that could motivate further research.
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SBA-K1 COMET Zentrum interacting Cristian Doppler Lab Lecurity and Quality Improvement in the Production System Lifecycle (CDL-SQI)
Duration: 01.04.2018 bis 31.03.2023

Design processes for production systems are characterized by engineering services in which a wide variety of engineering disciplines are involved with specialized design tools and in which a wide variety of design results must be consistently exchanged between these design tools. To date, various technologies have been developed for this information exchange, which can fulfill different data exchange requirements, for example with regard to information structuring, information security and information consistency.

The aim of the project is to bring some of these technologies together in a common scenario and to enable companies using them to gradually adapt their design processes to the use of this set of technologies. The internationally standardized data exchange format AutomationML (according to IEC 62714) will be of particular importance.

Sponsor

Austrian Federation

Cooperations

SMS Group
STIWA Group

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Simulative analysis system for handle-in-the-box systems
Duration: 01.11.2022 bis 31.12.2022

The aim of the project is the conception and prototypical implementation of a simulative analysis system for the evaluation of the reachability of a target point set for "reach into the box" applications in car body manufacturing. The aim is to answer the question: Can a robot reach a list of points without collision?
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Publications

2024

Book chapter

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]

M.Sc. David Hoffmann

M.Sc. David Hoffmann

Current projects

Completed projects

2024

Book chapter

Peer-reviewed journal article

2023

Book chapter

Peer-reviewed journal article

2022

Book chapter