Conference Agenda
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Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 03:58:10pm CEST
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Agenda Overview |
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D434: MODEL-BASED DESIGN AND SIMULATION FOR RESOURCE-EFFICIENT SYSTEMS
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AI-supported implementation of reuse strategies in SysML v2: an MBSE approach using the example of a 3D printer RPTU University Kaiserslautern-Landau, Germany Early integration of circularity into complex system architectures remains ad hoc and weakly verifiable. Model-based systems engineering (MBSE) can address this issue with precise modeling and early verification. This paper presents an artificial intelligence supported MBSE method to integrate circular strategies based on SysML v2 models, highlighting potential changes and enhancements. Generative suggestions are integrated via a regulated workflow with traceable justifications and context-enhanced queries. A use case modeling the print head of a 3D printer illustrates this approach. Utilisation of SysML models in the lifecycle of remanufacturable products 1University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia; 2Technische Universität Ilmenau, Germany; 3Clausthal University of Technology, Germany This literature review paper analyses recurring challenges associated with products designed for remanufacturing and links them to areas in which Model-Based Systems Engineering (MBSE) can provide targeted support through the utilisation of SysML models. The paper proposes SysML-based strategies for enhancing requirement traceability, improving lifecycle data and simulation support, enabling compatibility assessment, and facilitating stakeholder data exchange. The conclusion highlights the implications of these insights for future research on MBSE supported Circular Economy (CE) strategies. A simulation framework for evaluating fast charging and battery swapping strategies in electric construction machinery 1University of Bergamo, Italy; 2Blekinge Institute of Technology, Sweden The paper presents a simulation framework for evaluating fast charging and battery swapping strategies in battery-electric construction machinery. Developed using discrete-event and agent-based modeling, the framework supports scenario analysis in mining and road construction contexts. Case studies demonstrate how charging strategies impact productivity, energy costs, and battery degradation. Results highlight trade-offs between operational efficiency and long-term sustainability, offering a decision-support tool for electromobility transition in construction machinery. Assessing the effects of product family design strategies on resource consumption and costs: an extended axiomatic design approach Hamburg University of Technology, Germany This study presents a simulation-based framework to analyze resource consumption and cost effects of product family design strategies. Drawing on Extended Axiomatic Design (EAD) and 53 documented design cases, we simulate empirically grounded patterns that reveal denser, more homogeneous resource use than benchmarks from cost accounting literature. The findings (1) provide a reusable dataset; (2) demonstrate the value of EAD for standardized product family design and enhanced cost transparency; and (3) support broader generalization of cost accounting insights. | ||
