UiO participated at the NEMO Summer School with the Tec4MaaSEs project giving a tutorial on the Information Modelling Framework (IMF). The tutorial took place on 18.07.2024, 09:00 – 10:00, at University of Vienna and it was divided into two parts, addressing critical challenges in systems engineering through innovative methodologies:
Part I: Information Modelling Framework for Addressing Information Fragmentation in Systems Engineering, by Prof. Dimitrios Kyritsis
This part highlights the challenges posed by fragmented information across lifecycle phases and multidisciplinary teams in systems engineering. It introduces the background and goal of IMF. The IMF aims at a unified, precise language and framework to ensure seamless integration of data and models across domains, enhancing decision-making and automation. The session focused on elaborating:
- The problem of scattered, unstructured data in value chains and lifecycle phases.
- The IMF’s role in fostering interoperability, scalability, and user-friendliness.
- Core principles, including incremental modelling, ontological alignment, and systems thinking.
Part II: Information Modelling Framework, Method and Example, by Asso. Prof. Baifan Zhou
This part delves into the practical application of the IMF methodology, illustrating how it resolves real-world complexities in industrial settings. The session focused on:
- The step-by-step process of applying IMF, from defining system elements to semantic verification.
- Use cases like gas compressor train documentation and system design of cooling systems.
- How IMF enables structured documentation, facilitates procurement and design, and ensures system compliance.
The tutorial equips participants with a basic understanding of IMF’s background, theoretical foundation and practical examples. By addressing critical challenges in systems engineering, IMF represents a pivotal step toward improving information management and fostering collaborative innovation in complex industrial ecosystems.
Funding Source
This research is supported by the European Union-funded project Tec4MaaSE (Technologies for Manufacturing as a Service Ecosystems), which focuses on developing frameworks and tools for sustainable and efficient manufacturing systems. Tec4MaaSE’s funding enables the application and validation of IMF in diverse industrial scenarios with EU partners, ensuring relevance and innovation.