A simple queuing system has the mean interval time of 8 minutes and a mean service time of 4 minutes .
i) Determine the mean service rate and the mean arrival rate.
ii) Determine the traffic intensity.
iii) Determine the mean time a customer spends in the queue and in the system .
iv) What is the expected number of customers in the queue and in the system.
v) What is the probability of having at most four customers in the system.
Solution:
(i) Mean service rate"=\\mu=\\dfrac1{4}"
And mean arrival rate"=\\lambda=\\dfrac1{8}"
(ii) Traffic intensity"=\\rho=\\dfrac{\\lambda}{\\mu}=\\dfrac{1\/8}{1\/4}=0.5"
(iii) Number in the queue"=L_q=\\dfrac{\\rho^2}{1-\\rho}=\\dfrac{0.5^2}{1-0.5}=0.5"
Wait in the queue"=W_q=L_q\/{\\lambda}=0.5\/(1\/8)=4\\ mins"
Wait in the system"=W=W_q+1\/\\mu=4+4=8\\ mins"
Number of the system"=L=\\lambda W=(1\/8)\\times 8=1"
Thus, the mean time a customer spends in the queue "=W_q=4\\ mins"
And in the system"=W=8\\ mins"
(iv) The expected number of customers in the queue "=L_q=0.5"
And in the system "=L=1"
(v) Probability that there are zero customers or units in the system"=P_0=1-\\rho=1-0.5=0.5"
Now, the probability of having at most four customers in the system"=P_0+P_1+P_2+P_3+P_4"
We know that probability that there are n customers in the system"=P_n=\\rho^nP_0"
So, the probability of having at most four customers in the system
"=0.5+0.5(0.5)^1+0.5(0.5)^2+0.5(0.5)^3+0.5(0.5)^4\n\\\\=0.5(1+(0.5)^1+(0.5)^2+(0.5)^3+(0.5)^4)\n\\\\=0.96875"
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