Answer:
the average number of customers awaiting repairs = 0.30
the system utilization = 42
the amount of time that the repairman is not out on a call is = 4.64 hours
the probability of two or more customers in the system = 0.1764
Explanation:
Given that :
Repair time, including travel time = mean of 1.6 hours per call.
Requests for copier repairs = mean rate of 2.1 per eight-hour day
i.e mean rate R = 2.1/day
Time = 8 hours
thus; mean rate μ = 8 hours/ 1.6 hours = 5
(a)
Let the average number of customers awaiting repairs be
:
![I_i = \dfrac{R^2}{\mu (\mu-R)}](https://tex.z-dn.net/?f=I_i%20%3D%20%5Cdfrac%7BR%5E2%7D%7B%5Cmu%20%28%5Cmu-R%29%7D)
![I_i = \dfrac{2.1^2}{5 (5-2.1)}](https://tex.z-dn.net/?f=I_i%20%3D%20%5Cdfrac%7B2.1%5E2%7D%7B5%20%285-2.1%29%7D)
![I_i = \dfrac{4.41}{5 (2.9)}](https://tex.z-dn.net/?f=I_i%20%3D%20%5Cdfrac%7B4.41%7D%7B5%20%282.9%29%7D)
![I_i = \dfrac{4.41}{14.5}](https://tex.z-dn.net/?f=I_i%20%3D%20%5Cdfrac%7B4.41%7D%7B14.5%7D)
![\mathbf{I_i = 0.30}](https://tex.z-dn.net/?f=%5Cmathbf%7BI_i%20%3D%200.30%7D)
the average number of customers awaiting repairs = 0.30
(b) Determine system utilization.
The system utilization is determined as follows:
![\delta = \dfrac{R}{\mu}](https://tex.z-dn.net/?f=%5Cdelta%20%3D%20%5Cdfrac%7BR%7D%7B%5Cmu%7D)
![\delta = \dfrac{2.1}{5}](https://tex.z-dn.net/?f=%5Cdelta%20%3D%20%5Cdfrac%7B2.1%7D%7B5%7D)
![{\delta = 0.42}](https://tex.z-dn.net/?f=%7B%5Cdelta%20%3D%200.42%7D)
![\mathbf{\delta = 42}](https://tex.z-dn.net/?f=%5Cmathbf%7B%5Cdelta%20%3D%2042%7D)
(c) The amount of time during an eight-hour day that the repairman is not out on a call is calculated as :
Percentage of Idle time = 1 - ![\delta](https://tex.z-dn.net/?f=%5Cdelta)
Percentage of Idle time = 1 - 0.42
Percentage of Idle time = 0.58
However during an 8 hour day; The amount of time that the repairman is not out on a call is = 0.58 × 8 = 4.64 hours
(d)
the probability of two or more customers in the system by assuming Poisson Distribution is:
P(N ≥ 2) = 1 - (P₀+ P₁)
where;
P₀ = 0.58
P₁ = 0.58 × 0.42 = 0.2436
P(N ≥ 2) = 1 - ( 0.58 + 0.2436)
P(N ≥ 2) = 1 - 0.8236
P(N ≥ 2) = 0.1764
Thus; the probability of two or more customers in the system is 0.1764