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This paper describes a system dynamics simulation model to analyse the relationship between age pyramid and the volume of patients arriving to hospital emergency departments located in a sub-region of Lower Silesia of Poland. The study relies on demographic and historical demand data, and the cohort forecasts for the population of the region. The results of(More)
The article presents three spreadsheet models, which integrate Monte Carlo approach with other decision support techniques, namely: forecasting methods, queuing theory and optimization. The authors indicate the most important reasons to introduce Monte Carlo approach into teaching process of simulation and spreadsheet engineering to undergraduate and(More)
This paper describes a hybrid simulation model that integrates the System Dynamic approach with discrete time control to formulate the projections of population evolution. The study relies on historical demographic data and the officially formulated scenarios for the most likely population projections developed for the region. The results of the simulation(More)
This paper describes a hybrid simulation model that uses a system dynamics and discrete event simulation to study the influence of long-term population changes on the demand for healthcare services. A dynamic simulation model implements an aging chain approach to forecast the number of individuals who belong to their respective age-sex cohorts. The(More)
A Monte Carlo simulation model has been set up to analyze the inequalities in access to emergency medical services (EMS) in Lower Silesia Region in Poland. In the former studies carried on by one author the differences between different evaluative criteria measuring the effectiveness of emergency system in the selected number of communes in one of the(More)
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