The availability of large data and immense improvements in technology have extended the modeling capabilities. As the intricacy of the simulated systems has been increasing, challenges in the process of modeling also emerged due to complexities hidden in different levels of the system. The purpose of this paper is to initiate the design of a framework for extrapolating a hybrid simulation model, composed of agent-based and system dynamics models, from its model-based architecture designed using Systems Modeling Language (SysML). The process is recognized as complex adaptive and a software training management system (STMS) is selected to demonstrate the initial research findings. Furthermore, the ongoing efforts to develop the simulation model of STMS, which can support organizations in critical decision making, and requirements and risk management, using a modelbased systems engineering approach.
['Asli Soyler Akbas', 'Konstantinos Mykoniatis', 'Anastassia Angelopoulou', 'Waldemar Karwowski']
A model-based approach to modeling a hybrid simulation platform (work in progress)