Integrating System Dynamics with System Modeling Language for Resilient System Design

Resilience engineering requires robust methodologies to model and predict system behavior under adverse conditions. While the Systems Modeling Language is excellent for designing system structures, it cannot simulate dynamic behavior over time. System Dynamics focuses on feedback loops, stocks, and flows, providing a simulation‐based approach to modeling such behavior. This paper examines the integration of System Dynamics with System Modeling Language to enhance resilience modeling. It emphasizes potential benefits, challenges, and future research opportunities. By examining the methodologies, mapping their elements, and considering implementation strategies, the paper aims to provide a framework for systems engineers seeking to design resilient systems capable of avoiding, withstanding, and recovering from adversities.