Case Study Predec- Succ- First Second Third Fou cessors essors Method Method Method Meth ID Description P1 P2 P3 S1 S2 S3 $1 x 1000 D1 $2 x 1000 D2 $3 x 1000 D3 $4 x 1000 1 A 5 6 2.4 14 2.15 15 1.9 16 1.5 2 B 10 3 15 2.4 18 1.8 20 1.5 3 C 13 4.5 15 4 22 3.2 33 3.2 4 D 14 45 12 35 16 30 20 30 5 E 1 7 12 20 22 17.5 24 15 28 10 6 F 1 8 9 10 40 14 32 18 18 24 18 7 G 5 11 30 9 24 15 22 18 22 8 H 6 11 0.22 14 0.215 15 0.2 16 0.208 9 I 6 12 0.3 15 0.24 18 0.18 20 0.15 10 J 2 6 12 14 0.45 15 0.4 22 0.32 33 0.32 11 K 7 8 17 0.45 12 0.35 16 0.3 20 0.3 12 L 5 9 10 15 2 22 1.75 24 1.5 28 1 13 M 3 16 4 14 3.2 18 1.8 24 1.8 14 N 4 10 16 17 3 9 2.4 15 2.2 18 2.2 15 O 12 17 4.5 12 3.5 16 3.5 16 3.5 16 P 13 14 18 3 20 2 22 1.75 24 1.5 17 Q 11 14 15 18 4 14 3.2 18 1.8 24 1.8 18 R 16 17 3 9 2.4 15 2.2 18 2.2 Notes: User Input Calculation Penalty $ / d: 20000 Incentive $ / d: 10000 Indirect $ / d: 1000 Deadline 115 Total Penaltiy: 140000 Total Incentive: Total Indirects: 122000 Page 1
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Case Study
Predec- Succ- First Second Third Fourth
cessors essors Method Method Method Method
ID Description P1 P2 P3 S1 S2 S3
$1 x
1000 D1
$2 x
1000 D2
$3 x
1000 D3
$4 x
1000
1 A 5 6 2.4 14 2.15 15 1.9 16 1.5
2 B 10 3 15 2.4 18 1.8 20 1.5
3 C 13 4.5 15 4 22 3.2 33 3.2
4 D 14 45 12 35 16 30 20 30
5 E 1 7 12 20 22 17.5 24 15 28 10
6 F 1 8 9 10 40 14 32 18 18 24 18
7 G 5 11 30 9 24 15 22 18 22
8 H 6 11 0.22 14 0.215 15 0.2 16 0.208
9 I 6 12 0.3 15 0.24 18 0.18 20 0.15
10 J 2 6 12 14 0.45 15 0.4 22 0.32 33 0.32
11 K 7 8 17 0.45 12 0.35 16 0.3 20 0.3
12 L 5 9 10 15 2 22 1.75 24 1.5 28 1
13 M 3 16 4 14 3.2 18 1.8 24 1.8
14 N 4 10 16 17 3 9 2.4 15 2.2 18 2.2
15 O 12 17 4.5 12 3.5 16 3.5 16 3.5
16 P 13 14 18 3 20 2 22 1.75 24 1.5
17 Q 11 14 15 18 4 14 3.2 18 1.8 24 1.8
18 R 16 17 3 9 2.4 15 2.2 18 2.2
Notes:
User Input
Calculation
Penalty $ / d: 20000
Incentive $ / d: 10000
Indirect $ / d: 1000
Deadline 115
Total Penaltiy: 140000
Total Incentive:
Total Indirects: 122000
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Retainage
Paid Back After:
Markup
Interest/day
0.05
10
0.07
0.00033
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Fourth Fifth CPM Calculations
Method Method
D4
$5 x
1000 D5 Delay
Method
Index
Activity
Duration
Activity
Cost F1 F2 F3 T1 T2 T3
21 1.2 24 1 14 2400 31 14 122
23 1 25 2 18 2400 48 122 122
33 3.2 33 5 33 3200 59 122 122
20 30 20 5 20 30000 65 122 122
30 10 30 5 30 10000 14 61 63 122
24 18 24 4 24 18000 14 63 38 48
18 22 18 5 18 22000 44 79 122 122
21 0.12 24 3 16 200 38 79 122 122
23 0.1 25 5 25 100 38 63 122 122
33 0.32 33 1 15 450 18 38 63 65 122
20 0.3 20 3 20 300 62 54 99 122 122
30 1 30 2 24 1750 44 63 53 87 122 122
24 1.8 24 5 24 1800 33 83 122 122
18 2.2 18 4 18 2200 20 53 83 99 122
16 3.5 16 1 12 4500 87 99 122 122
28 1 30 5 30 1000 57 71 113 122 122
24 1.8 24 1 14 4000 82 71 99 113 122 122
18 2.2 18 1 9 3000 101 113 122 122 122
TCT ModelExperiment 1:
Model Outputs Calculate financing cost and add it to total cost
Try Using Solver to provide the least project cost with a 115 days deadline
Duration: 122 Show Project financing Curves
Total
Cost ($): 369300.0 Experiment 2:
Assume the quantities for each task = 1
Add cells tp allow you distribute all indirect costs among the tasks to come up with bid prices
Add cells to estimate your total bid price
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Add cells for min and max desirable unit prices
Try optimizing the final bid prices so as financing cost is minimum
days
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CPM Calculations Bar ChartDay number
ES EF LS LF TF 1 2 3 4 5
14 14 1 1 1 1 1
18 30 48 30 1 1 1 1 1
33 26 59 26 1 1 1 1 1
20 45 65 45 1 1 1 1 1
14 44 31 61 17
14 38 14 38
44 62 61 79 17
38 54 63 79 25
38 63 38 63
38 53 48 63 10
62 82 79 99 17
63 87 63 87
33 57 59 83 26
53 71 65 83 12
87 99 87 99
71 101 83 113 12
99 113 99 113
113 122 113 122
Experiment 1:
Calculate financing cost and add it to total cost
Try Using Solver to provide the least project cost with a 115 days deadline
Show Project financing Curves
Experiment 2:
Assume the quantities for each task = 1
Add cells tp allow you distribute all indirect costs among the tasks to come up with bid prices
Add cells to estimate your total bid price
Page 5
Case Study
Add cells for min and max desirable unit prices
Try optimizing the final bid prices so as financing cost is minimum
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6 7 8 9 10 11 12 13 14
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
Add cells tp allow you distribute all indirect costs among the tasks to come up with bid prices
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15 16 17 18 19 20 21 22 23
1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
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24 25 26 27 28 29 30 31 32
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
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33 34 35 36 37 38 39 40 41
1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1
1 1 1
1 1 1
1 1 1
1 1 1 1 1 1 1 1
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42 43 44 45 46 47 48 49 50
1 1 1
1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
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51 52 53 54 55 56 57 58 59
1 1 1 1 1 1 1 1 1
1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1
1 1 1 1 1 1 1
1 1 1 1 1 1
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60 61 62 63 64 65 66 67 68
1 1 1
1 1 1 1
1 1 1 1 1 1
1 1 1 1 1
1 1 1 1 1 1 1 1 1
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69 70 71 72 73 74 75 76 77
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1
1 1 1 1 1 1
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78 79 80 81 82 83 84 85 86
1 1 1 1 1
1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
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87 88 89 90 91 92 93 94 95
1
1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1
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96 97 98 99 100 101 102 103 104
1 1 1 1
1 1 1 1 1 1
1 1 1 1 1
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105 106 107 108 109 110 111 112 113
1 1 1 1 1 1 1 1 1
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114 115 116 117 118 119 120 121 122
1 1 1 1 1 1 1 1 1
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123 124 125 126 127 128 129 130
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