Analysis of Hospital Bed Requirements Using Discrete Event Simulation and Mathematical Modeling
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Using SimPy and Discrete Event Simulation we have observed the different model responses of a system consisting of a hospital and people getting sick/healing under different initial conditions. In our model, each independent person can get sick at an exponential rate. The hospital's capacity is limited and accepts only a limited amount of sick people. When the hospital gets full, people are sent home to heal. This is simulated under different conditions and the simulation results have demonstrated that the model reaches the steady-state in every scenario. These cause the outputs of the simulation to be similar to each other even when the simulation is run with different initial conditions. The results are compared with the Machine Repair Problem and Erlang-Loss System and the model is validated.
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