A Simulation-based Behavior Analysis for MCI Response System of Systems

A System of systems (SoS) vastly differs from conventional systems, both in structure and means of goal achievement. Structurally, an SoS contains autonomous systems which are managerially and operationally independent. The autonomous systems composing an SoS, commonly referred as constituent systems (CSs), interact each other to achieve common goals. With regard to means to goal achievement, SoS relies on each CSs' roles and assigned responsibilities. Due to the complex and characteristics of SoS, there still remains additional efforts to deal and address the challenges posed in the modeling and analysis of SoS behavior. In this paper, we presented an SoS behavior analysis approach via simulation. Our behavior analysis approach is similar to that of chaos engineering in that we inject stimuli into the system and then analyze the system behavior. Our simulation engine is based on discrete time multi-agent simulation. In our experiment, to mimic the real-world phenomenon into the simulation, we identified the real-world events that occurred in the real-world Mass Casualty Incident (MCI) response SoS. With the identified real-world events, we defined stimuli which can represent the real-world events and issues in real-world MCI. The defined stimuli are injected into the developed simulation to mimic the real-world MCI response case in practice.