Question: Exercise 4 . 1 4 Patients arrive at an emergency room where they are treated and then depart. Arrivals are exponentially distributed with a mean

Exercise 4.14 Patients arrive at an emergency room where they are treated and then depart. Arrivals are exponentially distributed with a mean time between arrivals of 0.3 hours. Upon arrival, patients are assigned a rating of 1 to 5, depending on the severity of their ailments. Patients in Category 1 are the most severe, and they are immediately sent to a bed where they await medical attention. All other patients must first wait in the receiving room until a basic registration form and medical record are completed. They then proceed to a bed.
The emergency room has three beds, one registration nurse, and two doctors. In all cases, the priority for allocating these resources is based on the severity of the ailment. Hint: Read the help for the QUEUE module and rank the queue by the severity attribute. The registration time for patients in Categories 2 through 5 is Uniform (0.1,0.2) hours. The treatment time for all patients is triangularly distributed with the minimum, most likely, and maximum values differing according to the patients category. The distribution of patients by category and the corresponding minimum, most likely, and maximum treatment times are summarized below.
Category 12345
Percent 68183335
Minimum 0.80.70.40.20.1
Most Likely 1.20.950.60.450.35
Maximum 1.61.10.750.60.45
The required responses for this simulation include:
Average number of patients waiting for registration
Utilization of beds
System time of each type of patient and overall (across patient types)
Using a run length of 30 days, develop a model to estimate the required responses. Report the responses based on estimating the system time of a patient regardless of type based on 50 replications.

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