This study builds on earlier research which focuses on the use of combined simulation methods to support healthcare demand predictions. The authors developed a hybrid simulation model composed of two submodels which were built using different simulation paradigms. Both models, i.e. a population model based on a continuous modeling approach and an arrivals model built with discrete-event methodology, were created in ExtendSim. This combined model simulates the consequences of demographic changes, the variability in incidence rates that result from an aging population, and the seasonal fluctuations in epidemic trends on future demand for healthcare services.
Overcoming Challenges in Hybrid Simulation Design and Experiment
- Source: Jacek Zabawa and Bozena Mielczarek, Faculty of Computer Science and Management
- Specific Source: Wroclaw University of Science and Technology
