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, 03:59:53pm CEST
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Agenda Overview |
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D354: RESILIENCE AND COMPLEXITY IN ENGINEERING SYSTEMS
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Resilience-by-design: maturity model for assessing the resilience capabilities of automotive systems architecture in the concept phase 1Fraunhofer Institute for Mechatronic Systems Design, Germany; 2Heinz Nixdorf Institute, Paderborn University, Germany Connected and Autonomous Vehicles (CAV) are increasingly complex, making resilience hard to guarantee. Resilience means maintaining functionality and availability despite disruptions while ensuring safety. Designing a resilient system requires system‑level analysis early in the concept phase to identify and mitigate risks, thereby securing reliability and availability. This paper introduces the Automotive Resilience Maturity Model (ARMM), which evaluates automotive systems’ resilience levels based on their system architecture. For a better understanding of the logical interdependencies of infrastructures and role of human factor: a review of modeling and simulation applications CentraleSupélec, France Critical infrastructures are complex, interdependent systems on which our societies are reliant. A better understanding of these interdependencies is vital to improving their functioning and resilience. While various studies and surveys have been conducted, we aim to cast a new perspective by focusing on what Rinaldi et al. introduced in 2001, as "logical interdependencies" and their modeling and simulation considering the human factor, and by adopting a cross-area approach to guide future works through the identification of research directions and common design challenges, good practices. Project complexity and cost escalations in the early design of railway megaprojects 1Chalmers University of Technology, Sweden; 2Swedish Transport Administration, Sweden; 3The Open University, United Kingdom Large railway projects suffer from major cost overruns and delays, partly due to project complexity. This study explores how such complexity emerges in the early design stages and affects the project outcomes. Data from 14 interviews were compared with four project complexity frameworks. The results indicate that complexity is mainly institutional rather than structural. Optimism bias, fragmented requirement governance, and weak coordination create self-reinforcing loops of cost growth, showing that governance and decision processes, not technical uncertainty, drive early-stage complexity. A study on resilience through redundant sensing in autonomous cyber-physical systems Technical University of Darmstadt, Germany In recent years, redundant sensing has gained attention as a means to improve the resilience of autonomous cyber-physical systems (CPS). Resilience, however, has not been stringently defined. In this work, a standard-based understanding of resilience was derived, resulting in 11 properties that contribute to resilience. This understanding was used to analyse literature on autonomous CPS, their domains, operating environments, and the disruptions they encounter. A subsequent analysis shows a prevalence of measures acting during the disruption, while anticipating or learning measures are scarce. | ||
