2025/12/12 by Erik Rosenlund, Johan Cederbladh, Per Erik Strandberg +1 · 1 voice
Computer Science · Decision Sciences · Engineering · #Modeling and Simulation Systems #Simulation Techniques and Applications #Systems Engineering Methodologies and Applications
paper · pdf · doi:10.1007/s10270-025-01344-8
openalex created_date 2025/12/12 · openalex publication_date 2025/12/12 · openalex updated_date 2026/08/01
Abstract Model-Based Systems Engineering (MBSE) increasingly integrates Modeling and Simulation (M&S) to enhance decision-making. This study aims to understand how domain-specific concerns shape simulation practices, and identify domain-agnostic practices that could benefit from standardizing. A mixed-methods approach was employed, combining a survey of 50 industry and academic participants with four in-depth experience reports from the domains of Construction Equipment, Embedded Networking Systems, Aerospace, and Automotive. Findings reveal variation in M&S practices across domains where standardization plays a large role in enabling cross-domain collaboration and simulation credibility. However, it also highlights context-dependent trade-offs between rigor and agility. Concluding the study are a number of actionable insights, including promoting cross-domain standards, enhancing traceability mechanisms, and bridging gaps between industry and academia.