All 3 simulations should be able to model the following different cases (to also be able to toggle and compare each):
Having 2 wards, differences in ward size:
1. Ward A and B with 20 beds.
2. Ward A with 20 beds and Ward B with 40 beds
As 2 patient type will be entering the ED, differences in average length of stay in the wards, if between them they have:
1. Same average length of stay
2. Patient type 2 double the average length of stay than patient type 1
Differences in arrival rate to the ED:
1. High
2. Low
Simulation 1:
The patients is routed from the ED to the wards only depending on where the first bed was available (this is the simplest model and does not contemplate the type of patient or the ward where it is routed, BUT yes the patient type should be recorded to be able to compare measures).
Simulation 2:
In the case we have different ward sizes, patients are routed and queued in the “First come first served” format depending on ward size. For example, if ward B have double the beds than ward A, then patients are routed in the form A B B A B B A B B A…
As said before, I should also be able to toggle differences in patient average length of stay. And agin, in either case, patient type should be recorded to be able to compare measures at the end
Simulation 3:
In this case, there are 2 patient types arriving to the wards on a given time frame (a day for example): type 1 are regular patients, and type 2 are more severe patients. And they are allocated as equally as possible in the wards (not considering ward size, only equally distribution between them), following:
1. First, all type 2 patients
2. Then, all type 1 patients.
REMEMBER: performance should measurable and comparable between models (ward load, waiting times, average number of patients of each type being served, average writing time for each patients, average queue lengths, average time servers are busy, etc.)
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