The pharmacist at Arnold Palmer? Hospital, Wende? Huehn-Brown, receives
6 requests for prescriptions each? hour, Poisson distributed. It takes her a mean time of 5 minutes to fill? each, following a negative exponential distribution. The waiting line table is provided below and also we know that Upper W Subscript q Baseline equals StartFraction Upper L Subscript q Over lambda EndFraction
.
Table: Average Number of Customer in Waiting Line
Poisson? Arrivals, Exponential Service Times |
|||||
Number of Service? Channels, M |
|||||
rho |
1 |
2 |
3 |
4 |
5 |
|
.10 |
.0111 |
||||
.15 |
.0264 |
.0008 |
|||
.20 |
.0500 |
.0020 |
|||
.25 |
.0833 |
.0039 |
|||
.30 |
.1285 |
.0069 |
|||
.35 |
.1884 |
.0110 |
|||
.40 |
.2666 |
.0166 |
|||
.45 |
.3681 |
.0239 |
.0019 |
||
.50 |
.5000 |
.0333 |
.0030 |
||
.55 |
.6722 |
.0449 |
.0043 |
||
.60 |
.9000 |
.0593 |
.0061 |
||
.65 |
1.2071 |
.0767 |
.0084 |
||
.70 |
1.6333 |
.0976 |
.0112 |
||
.75 |
2.2500 |
.1227 |
.0147 |
||
.80 |
3.2000 |
.1523 |
.0189 |
||
.85 |
4.8166 |
.1873 |
.0239 |
.0031 |
|
.90 |
8.1000 |
.2285 |
.0300 |
.0041 |
|
.95 |
18.0500 |
.2767 |
.0371 |
.0053 |
|
1.0 |
.3333 |
.0454 |
.0067 |
||
1.2 |
.6748 |
.0904 |
.0158 |
||
1.4 |
1.3449 |
.1778 |
.0324 |
.0059 |
|
1.6 |
2.8444 |
.3128 |
.0604 |
.0121 |
|
1.8 |
7.6734 |
.5320 |
.1051 |
.0227 |
|
2.0 |
.8888 |
.1739 |
.0398 |
?a) Using the? table, the average number of prescriptions in the queue? =
?b) Using the given? relationship, the average time a prescription spends in the queue? = nothing Using the given? relationship, the average time a prescription spends in the queue after Wende has hired Ajay Agarwal? = minutes ?(round your response to two decimal? places).
Average arrival rate, λ = 6 per hr.
Average service rate, μ = 1 in 5 minutes = 12 per hr.
So,
(a)
λ/μ = 6/12 = 0.5
No. of servers. M = 1
From the table, the average number of prescriptions in the queue, Lq = 0.50
(b)
The average time a prescription spends in the queue, Wq = Lq / λ = 0.5/6 hrs. = 5 minutes
(c)
When Ajay was hired,
M = 2
λ/μ is still 0.5
From the table, the average number of prescriptions in the queue, Lq = 0.0333
Wq = Lq / λ = 0.0333/6 hrs. = 0.33 minutes
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