Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 02:17:55pm CEST
Tailored metrics for assessing the quality of MBSE models
Iris Graessler1, Dominik Wiechel1, Deniz Oezcan1, Patrick Taplick2
1Heinz Nixdorf Institute, Paderborn University, Germany; 2Behr-Hella Thermocontrol GmbH, Germany
System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.
Extending the function failure modes taxonomy for intelligent systems with embedded AI components
Felician Campean1, Unal Yildirim2, Aleksandr Korsunovs1, Aleksandr Doikin1
1University of Bradford, United Kingdom; 2Hubei Key Laboratory of Automotive Power Train and Electronic Control, China
Early consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.
Tool support for implementing a methodology in magnet development projects at CERN
Jens Kaeske1,2, Erik Wagner1, Albert Albers2, Stephan Russenschuck1
1European Organization for Nuclear Research (CERN), Switzerland; 2IPEK - Institute of Product Engineering, Karlsruhe Institute of Technology, Germany
Abstract product development models, such as the Integrated Product Engineering Model (iPeM), are insightful yet complex, hindering practical application. The paper introduces a prototypical tool designed to simplify the application of iPeM. A case study at CERN showcases the tool's capability in utilizing the iPeM to streamline the tailoring of standards into methodologies for research environments. The tool's impact is evaluated through interviews at CERN. The findings suggest the tool's benefits, especially for individuals without formal project management backgrounds.
Systems engineering in design practice: a guideline for development service providers
Maximilian Burkhardt1, Tilman Warns1, Sebastian Endepols1, Nikola Bursac2, Katharina Ritzer2
1Porsche Engineering Services GmbH, Germany; 2Hamburg University of Technology, Germany
To handle the increased complexity within the automotive industry, this paper introduces a guideline, which aims to support development service providers to examine the introduction and if applicable support the introduction of systems engineering. The initial verification was performed through applying the guideline at Porsche Engineering as an exemplary service provider. As a result, the success factors "knowledge basis" and "knowledge transfer" have been improved by two points on a 1-5 Likert-scale by introducing a SE process-specific knowledge platform and a defined knowledge transfer.
Reviewing the suitability of ICT-centered design methods for smart PSS development
Yevgeni Paliyenko, Daniel Roth, Matthias Kreimeyer
University of Stuttgart, Germany
The emergence of smart Product-Service Systems (smart PSS) presents numerous challenges for enterprises. The complexity of designing smart PSS adds to the need for consistent support for manufacturers. Both academia and practitioners highlight the importance of methodological support for successful development of smart PSS. This paper therefore investigates the suitability of existing support for smart PSS. Based on a systematic literature review, 17 support methods are identified and their key characteristics are discussed in the context of real PSS use cases.
