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Project Scheduling: PERT/CPM
Chapter 13
Project Scheduling: PERT/CPM
Learning Objectives
1. Understand the role and application of PERT/CPM for project scheduling.
2. Learn how to define a project in terms of activities such that a network can be used to describe the
project.
6. Understand the concept and need for crashing.
7. Be able to formulate the crashing problem as a linear programming model.
8. Learn how to schedule and control project costs with PERT/Cost.
9. Understand the following terms:
network beta distribution
PERT/CPM path
A
B
C
FinishStart D
E
F
G
H
I
J
4. a.
Critical Path: A-D-G
b. The critical path activities require 15 months to complete. Thus the project should be completed in
1-1/2 years.
5.
UPDATED ACTIVITY SCHEDULE FOR THE WESTERN HILLS SHOPPING CENTER PROJECT
Earliest Latest Earliest Latest
Start Start Finish Finish Slack Critical
Activity (ES) (LS) (EF) (LF) (LS – ES) Path?
A 0 0 5 5 0 Yes
B 7 11 8 12 4
C 7 8 11 12 1
6.
a. Critical path: A-D-F-H
b. 22 weeks
c. No, it is a critical activity
d. Yes, 2 weeks
7. a.
b. A-D-E-H
c. Activity F: 4 weeks
d. Yes, project completion time is 16 weeks
D
3
3
7
7
0
Yes
E
7
7
0
Yes
F
3
7
6
4
G
7
3
H
0
Yes
E
20
20
26
26
0
Yes
26
26
41
41
0
Yes
G
26
29
38
41
3
H
41
41
49
49
0
Yes
d. Yes. Project Completion Time 49 weeks.
9. a.
Chapter 13
5
6
7
6.00
0.11
D
3
0
5
1.78
7
1
G
7.5
1.36
C
10.5
10.5
17
17
0
Yes
D
8
19.5
11
22.5
22
22
0
Yes
22.5
18
29.5
G
29.5
29.5
0
Yes
c. The critical path A – C – E – G:
d. Expected duration = 10.5 + 6.5 + 5 + 7.5 = 29.5
Variance = 1.36 + 0.69 + 1.78 + 1.36 = 5.19
10. a.
D
8.83
0.25
4.00
0.44
2.00
0.11
G
7.83
0.69
H
8.00
0.44
4.00
0.11
D
4.83
4.83
0.00
Yes
E
4.00
17.67
8.00
21.67
13.67
10.83
11.67
12.83
13.67
0.83
G
13.67
13.83
21.50
21.67
0.17
H
0.00
Yes
0.00
Yes
Critical Path: A-D-H-I
b. E(T) = tA + tD + tH + tI
= 4.83 + 8.83 + 8 + 4 = 25.66 days
c.
2 = A
2 + D
2 + H
2 + I
2
= 0.25 + 0.25 + 0.44 + 0.11 = 1.05
Probability of 25 days or less is 0.2578.
13.
E
7
0.44
3
0.11
G
0.44
H
8
1.78
From problem 6, A-D-F-H is the critical path.
E (T) = 5 + 6 + 3 + 8 = 22
2 = 0.11 + 0.44 + 0.11 + 1.78 = 2.44
z = T ime – E (T)
= T ime – 22
2.44
a. Time = 21 z = -0.64
Cumulative Probability = 0.2611
P(21 weeks) = 0.2611
14. a.
10
4.00
9
4.00
G
15
2.78
H
7
1.78
D
8
15
13
20
7
E
20
20
30
30
0
Yes
20
21
29
30
1
G
30
30
45
45
0
Yes
H
45
45
52
52
0
Yes
Critical Path: A-C-E-G-H
b. E(T) = tA + tC + tE + tG + tH
= 8 + 12 + 10 + 15 + 7 = 52 weeks (1 year)
c.
2 2 2 2 2 2
A C E G H
= + + + +
= 1.78 + 4.00 + 4.00 + 2.78 + 1.78 = 14.34
Using the normal distribution,
44 ( ) 44 52 2.11
14.34
ET
z
−−
= = = −
From the table for standard normal distribution, the cumulative probability for z = -2.11 is 0.0174.
From the table for standard normal distribution, the cumulative probability for z = 1.32 is 0.9066.
Probability of more than 57 weeks = 1.0000 – 0.9066 = 0.0934
15. a.
1
0.03
2
0.11
G
4
0.44
H
4
0.11
2
0.03
6
11
8
13
5
G
5
5
9
9
0
Yes
H
9
9
0
Yes
0
Yes
c. Critical Path: A-B-G-H-I
E(T) = 2 + 3 + 4 + 4 + 2 = 15 weeks
d. Variance on critical path
2 = 0.03 + 0.44 + 0.44 + 0.11 + 0.03 = 1.05
16. a.
b.
B-C
Expected Time = 7.5 + 1 = 8.5 weeks
1.36 + 0 = 1.36
Cumulative probability = 0.90
d. The probability estimate from (c) based on both paths is more accurate. Both paths must be
completed for the entire project to be completed. These two paths only share one activity (C), which
has no variability, and thus are effectively independent.
b. Critical Path A-B-D
Expected Time = 4.5 + 8.0 + 6.0 = 18.5 weeks
c. Material Cost = $3000 + $5000 = $8000
Best Cost (Optimistic Times) 3 + 5 + 2 + 4 = 14 days
Total Cost = $8000 + 14($400) = $12,800
e.
Bid = $16,800 = $8,000 + Days ($400)
400 Days = 16,800 – 8000 = 8,800
Days = 22
The project must be completed in 22 days or less.
Probability of 22 weeks or less is 0.9699
The probability of a loss is 1.0000 – 0.9699 = 0.0301
18. a.
2.00
0.11
G
2.00
0.11
H
2.00
0.11
1.00
0.00
1.17
11.17
3.17
13.17
10.00
G
9.17
9.17
11.17
11.17
0.00
Yes
H
11.17
11.17
13.17
13.17
0.00
Yes
13.17
13.17
14.17
14.17
0.00
Yes
c. Critical Path: A-B-D-G-H-I
Expected Project Completion Time = 1.17 + 6 + 2 + 2 + 2 + 1 = 14.17 weeks
d. Compute the probability of project completion in 13 weeks or less.
2 = A
2 + B
2 + D
2 + G
2+ H
2 + I
2
= 0.03 + 0.4 4 + 0.11 + 0.11 + 0.11 + 0.00 = 0.80
9
0.69
G
6
0.25
H
7
1.78
3
0.44
5
0.11
A
4
4
20
0
16
C
9
4
I
3
23
26
20
23
D
3
12
23
9
20
G
14
17
20
23
3
H
14
14
21
21
0
Yes
20
23
23
26
3
21
21
26
26
0
Yes
b. E(T) = tB + tE + tH + tJ
= 4 + 10 + 7 + 5 = 26
2 2 2 2 2
B E H J
= + + +
= 0.44 + 1.78 + 1.78 + 0.11 = 4.11
xD + yD – xC 5
xG + yG – xB 9
xD + yD – xB 5
xH + yH – xF 3
Maximum Crashing:
yA 2
yB 3
yC 1
yD 2
b. Linear Programming Solution
E
1
3
350
1
2
450
G
1
8
360
H
0
3
E
8
8
0
Yes
0
Yes
G
5
5
0
Yes
H
0
Yes
All activities are critical.
21. a.
D
2
3
7
8
1
E
8
8
0
Yes
8
2
G
2
Critical Path: A-C-E
Project Completion Time = tA + tC + tE = 3 + 5 + 6 = 14 days
b. Total Cost = $8,400
2
400
E
2
500
1
400
1
500
xA + yA 3
xB + yB 2
xC + yC – xA 5
xD + yD – xB 5
xE + yE – xC 6
xG + yG – xF 2
xFIN – xE 0
xFIN – xG 0
xFIN 12
yA 1
yB 1
yC 2
b.
23. a. This problem involves the formulation of a linear programming model that will determine the length
of the critical path in the network. Since xI, the completion time of activity I, is the project
completion time, the objective function is:
Min xI
G
xG – xD G
xG – xF G
H
xH – xB H
xH – xC H
D
10
11
17
18
1
17
18
27
28
1
28
28
31
31
0
D
8
8
14
14
0
14
14
23
23
0
23
23
26
26
0
Cost to crash activity i one week
Maximum crash time in weeks for activity i
Number of weeks activity i is crashed
Completion time for activity i
Normal completion time for activity i
xA + yA A
xB + yB B
xC + yC – xB C
xD + yD – xA D
xD + yD – xC D
xE + yE – xB E
xFIN T
J values can be computed from data given in problem 19. (See solution to problem 19.)
b. Information needed:
1. Maximum crash time for each activity (Mi)