PracticeProblems_QueuingManagement_Solution.pdf
-
Upload
stephanie-lam -
Category
Documents
-
view
216 -
download
0
Transcript of PracticeProblems_QueuingManagement_Solution.pdf
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
1/6
Solutions to Practice Questions on Queuing Management
1. Use M/M/1.
=λ 4/hour = µ 6/hour
a.
3333.6
4
111 =−=−=− µ
λ
ρ or 33.33%
b.
)46(6
4
)(
22
−=
−=
λ µ µ
λ q L =1.33,
4
33.1==
λ
q
q
LW = 1/3 hour or 20 minutes
c.
)46(6
4
)(
22
−=
−=
λ µ µ
λ q L = 1.33 students
d. At least one other student waiting in line is the same as at least two in the
system. This probability is 1-(P0+P1).
n
n P
−=
µ λ
µ λ 1 ,
0
064
641
−= P = .3333,
1
164
641
−= P = .2222
Probability of at least one in line is 1-(.3333 + .2222) = .4444
2.
Use M/M/1.
a. =λ 4/hour = µ 10/hour
)410(10
4
)(
22
−=
−=
λ µ µ
λ q L = .267 students
Waiting cost per day = number in line times goodwill loss per hour times
number of hours per day. (This is a formula you need to remember!)
=.267(10)8 = $21.33 per day
Total cost = waiting cost + additional service cost
=$21.33 + $99.50 = $120.83 per day
b.
Use M/M/S.
S=2,6
4==
µ
λ ρ =.667
Interpolating from q L Table, q L = .0837
Therefore, waiting cost per day = number in line times goodwill loss per hour
times of hour per day
= .0837(10)8 = $6.70 per day
Total cost = waiting cost + additional service cost
= $6.70 + $75.00 = $81.70 per day
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
2/6
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
3/6
b. )56(6
5
)(
22
−=
−=
λ µ µ
λ q L = 4.17 people on average
c. It would be busy6
5==
µ
λ ρ =.833 or 83.3% of the time, for a 12 hour
day .833(12) = 10 hours
d.
00
065
6511
−=
−=
µ λ
µ λ P = .167 or 16.7%
e.
=W .75 and λ = 5 per hour,
75.35
75. === L L L
W λ
33.65
575.3 =
−=
−= µ
µ λ µ
λ L , therefore, the service rate must be at least
6.33 customers per hour
11. Use M/M/1.
=λ 2 per hour = µ 3 per hour
a. )23(3
2
)(
22
−=
−=
λ µ µ
λ q L = 1.333 customers waiting
b. 2
333.1==
λ
q
q
LW = .667 hours or 40 minutes
c. 2
2,2
23
2===
−=
−=
λ λ µ
λ LW L = 1 hour
d.
3
2== µ
λ
ρ = .67 or 67% of the time
12.
Use M/M/S, S=2
=λ 2 per hour = µ 3 per hour
a.
3
2==
µ
λ ρ , From q L Table, q L is around .0837
b. λ qq LW = = .0837/2 = .0418 hours or 2.51 minutes
c. 2/7504./,7504.3/20837. ===+=+= λ µ λ LW L L q = .3751 hours or
22.51 minutes
13. Use M/M/1.
=λ 6 per hour = µ 10 per hour
a. 610
6
−=
−=
λ µ
λ L = 1.5 people
6
5.1==
λ
LW = .25 hours or 15 minutes
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
4/6
b. 10
6==
µ
λ ρ = .60 or 60%
c. Probability of more then 3 people is equal to 1 – probability of 0, 1, 2
n
n P
−=
µ
λ
µ
λ 1 ,
0
010
6
10
61
−= P = .4000,
1
110
6
10
61
−= P = .2400,
2
210
6
10
61
−= P = .1440
Total of P0 + P1 + P2 = (.4000 + .2400 + .1440) = .7840
Therefore, the probability of three or more is 1 - .7840 = .2160
d.
Use M/M/S, S=2
10
6== µ
λ
ρ = .60, from Table, q L = .0593
6593.10/60593. =+=+= µ λ q L L
λ LW = = .6593/6 = .1099 hours or 6.6 minutes
15. Use M/M/1.
=λ 25 per hour = µ 30 per hour
a.
30
25==
µ
λ ρ = .833 or 83.3%
b.
2530
25
−=−= λ µ
λ L = 5.00 document in the system
c.
25
00.5==
λ
LW = .20 hours or 12 minutes
d. Probability of 4 or more is equal to 1 – probability of 0, 1, 2, 3
n
n P
−=
µ
λ
µ
λ 1 ,
0
030
25
30
251
−= P = .1667
1
1
30
25
30
251
−= P = .1389,
2
2
30
25
30
251
−= P = .1157
3
330
25
30
251
−= P = .0965
Total of P0 + P1 + P2 + P3 = (.1667 + .1389 + .1157 + .0965) = .5178
Therefore, the probability of three or more is 1 - .5178 = .4822 or 48.22%
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
5/6
e. ∞→−
=−
=)3030(30
30
)(
22
λ µ µ
λ q
L
16. Use M/M/1.
=λ 4 per hour = µ 6 per hour
a.
6
4== µ
λ
ρ = .667 or 66.7%
b.
24
4
−=
−=
λ µ
λ L = 2.00 students in the system
c.
4
00.2==
λ
LW = .50 hours or 30 minutes
d. Probability of 4 or more is equal to 1 – probability of 0, 1, 2, 3
n
n P
−=
µ
λ
µ
λ 1 ,
0
06
4
6
41
−= P = .3333
1
16
4
6
41
−= P = .2222,
2
26
4
6
41
−= P = .1481
3
36
4
6
41
−= P = .0988
Total of P0 + P1 + P2 + P3 = (.3333 + .2222 + .1481 + .0988) = .8024
Therefore, the probability of three or more is 1 - .8024 = .1976 or 19.76%
e. ∞→−=−= )66(6
6
)(
22
λ µ µ
λ q L
17. Use M/M/1.
=λ 10 per minute = µ 12 per minute
a. )1012(12
10
)(
22
−=
−=
λ µ µ
λ q L = 4.17 vehicles
b.
1012
10
−=
−=
λ µ
λ L = 5,
10
5==
λ
LW = .5 minute or 30 seconds
c.
12
10== µ
λ
ρ = .833 or 83.3%
d. Probability of 3 or more is equal to 1 – probability of 0, 1, 2
n
n P
−=
µ
λ
µ
λ 1 ,
0
012
10
12
101
−= P = .1667
1
112
10
12
101
−= P = .1389,
2
212
10
12
101
−= P = .1157
-
8/18/2019 PracticeProblems_QueuingManagement_Solution.pdf
6/6
Total of P0 + P1 + P2 = (.1667 + .1389 + .1157) = .4213
Therefore, the probability of three or more is 1 - .4213 = .5787 or 57.87%
18. Use M/M/2.
=λ 10 per minute = µ 12 per minute
a.
12
10== µ
λ
ρ = .8333, from q L Table, q L is around .175 cars
b. µ λ += q L L = .175 + .8333 = 1.008
10
008.1==
λ
LW = .101 minutes or 6.06 seconds
When there are two dedicated lines for the two servers, the system becomes two
independent M/M/1 with half of the arrivals. When applying the fomular, cut
λ by half.
c.
)512(12
5
)(
22
−=
−= λ µ µ
λ q L = .298.
d.
512
5
−=
−=
λ µ
λ L = .7143,
5
7143.==
λ
LW = .143 minutes or 8.58 seconds
19. M/M/1. Note that since repair persons need to work in a group, there is only one
server even though there can be multiple repair people.
=λ 2 per hour
With one repair person: = µ 2, ∞→−
=−
=22
2
λ µ
λ L
With two repair people: = µ 3, 223
2=
−=
−=
λ µ
λ L cars
With three repair people: = µ 4, 124
2=
−=
−=
λ µ
λ L car
Number of
repair
personnel
Service rate
per hour
(µ)
snCost of
waiting per
hour 1
Cost of
service per
hour 2
Total
cost per
hour
1 2 ∞ $ ∞ $ 20 $ ∞
2 3 2 80 40 120
3 4 1 40 60 100
Note: 1 = cost of waiting is number in system times downtime cost of $40 per hour.
2 = cost of service is number of repair personnel times wage rate ($20 per hour).
From the table, Should use three repair persons.