Daniel Krems
Daniel Krems has studied physics at Graz University of Technology. After working at two different companies in corporate research focusing on materials science, he joined AVL List in 2014. At AVL, he went through an in-depth on-the-job-training in systems engineering and took on the role of “Specialist Systems Engineering Methods”. Ever since, his focus has been MBSE and system architecture modeling. In 2022, he took on the role as “Project Manager IODP” at AVL’s strategic initiative “Integrated and Open Development Platform” (IODP), which supports automotive OEMs and suppliers in realizing the vision of continuous V&V. His current focus is to establish the processes, methods, and tools to improve V&V by leveraging MBSE—both within customer projects as well as within research projects.
Session
The automotive industry faces two critical challenges in product development: (1) Consistency and traceability across all involved domains / disciplines and throughout the whole development process to manage the complex interrelationships among architecture, components, features, and functions. (2) The pressure to increase development speed and efficiency to stay competitive. There are solutions addressing both challenges: Model-based systems engineering (MBSE) addresses consistency and traceability, while virtualization and simulation address development speed and efficiency. In state-of-the-art industrial practice, however, these two solutions are still applied in isolation from one another, leading to inconsistencies, missing traceability and high effort and resource investment (due to redundant or manual modeling work, finding and correcting inconsistencies etc.). To address these industry challenges, the prostep ivip SmartSE project—an established multi-year cross-industry initiative—has been working on integrating MBSE with simulation to enhance traceability, consistency and efficiency in product development processes. We will present our industry experiences and the obtained results from the SmartSE project, where our companies collaborate on solving the real-world challenges that drive the urgent need for a standards-based integration of MBSE and simulation. Related standardization efforts include the "Simulation Credibility Standard and Recommendation" [1] from SmartSE, the SysML specification for creating MBSE system architecture models [2], and the SSP Traceability Standard [3]. The unique value of this presentation lies in bringing together industry perspectives from OEMs, suppliers and tool vendors to share their experiences, challenges and targets with the integration of MBSE and simulation. Rather than only presenting theoretical solutions, we will also show working proof-of-concepts created within the SmartSE project. The proposed solutions are based on standards (SysML, XMI, SSP, SSP-Traceability, FMI) and thus applicable across industries, irrespective of the specific tool set used in an organization. Our presentation will reveal how the integration of MBSE and simulation enables consistency and traceability between quantitative (i.e., system architecture model) and qualitative (i.e., simulation models) models, whilst increasing development speed and efficiency due to auto-generation of artifacts. We provide industry insights into why the integration of MBSE and simulation is an essential means for traceability, consistency and development speed, and how it can be put into practice.
References [1] White Paper: SmartSE - Guard Rails for "Simulation Credibility Standards and Recommendation", prostep ivip Association. (2024) [2] OMG Systems Modeling Language (OMG SysML), Object Management Group (2019) SYSML SPEC. Available at https://www.omg.org/spec/SysML/1.6/About-SysML/ [3] Prototype Standard: SSP Traceability Standard (An SSP layered Standard). (2024, in development). Available at: https://github.com/modelica/ssp-ls-traceability