Respuesta :
Answer:
a) [tex]P(Busy) =\frac{Arrival rate}{Service Rate}= \frac{1.5/min}{6/min}=0.25[/tex]
b) [tex]Avg. Wating time= \frac{1.5}{6(6-1.5)}=0.056 minutes[/tex]
And that means 0.06 minutes for the average waiting time.
c) [tex]Avg. Call. Wating = \frac{1.5^2}{6(6 -1.5)}=0.0833[/tex]
And that means 0.08 minutes between each call.
Step-by-step explanation:
Previous concepts
Let X the random variable of interesr. We know that [tex]X \sim Poisson(\lambda)[/tex]
The probability mass function for the random variable is given by:
[tex]f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...[/tex]
Single Channel Queuing Model. "That division of service channels happen in regards to number of servers that are present at each of the queues that are formed. Poisson distribution determines the number of arrivals on a per unit time basis, where mean arrival rate is denoted by λ".
Data given
Arrival rate = 1.5 per minute
Service Rate = 10 seconds = 6/min
Part a
For this case we want the probability that the operator is being busy. And we can find this dividing the arrival rate by the service rate like this:
[tex]P(Busy) =\frac{Arrival rate}{Service Rate}= \frac{1.5/min}{6/min}=0.25[/tex]
Part b
In order to find the average waiting time we can use the following formula:
[tex]Avg. Wating time = \frac{W_q}{W_r( W_r -W_q)}[/tex]
Where [tex]W_q[/tex] represent the arrival rate and [tex]W_r[/tex] the service rate. If we replace we have:
[tex]Avg. Wating time= \frac{1.5}{6(6-1.5)}=0.056 minutes[/tex]
And that means 0.06 minutes for the average waiting time.
Part c
In order to find the average number of call on waiting we can use the following formula:
[tex]Avg. Call. Wating = \frac{W^2_q}{W_r( W_r -W_q)}[/tex]
And replacing we got:
[tex]Avg. Call. Wating = \frac{1.5^2}{6(6 -1.5)}=0.0833[/tex]
And that means 0.08 minutes between each call.