2023 Project Management Forecasting Please provide detailed solutions to the following problems exercises 4 problems exercises – expert writers hub
Human Resource Management 2023 Project Management Forecasting
Project Management Forecasting Please provide detailed solutions to the following problems exercises 4 problems exercises 2023
Project Management Forecasting
Please provide detailed solutions to the following problems/exercises (4 problems/exercises):
1) Draw the network corresponding to the following information. Complete the table, identify the critical path, and specify project completion time.
|
Activity |
Immediate Predecessor(s) |
Time (Weeks) |
|
A |
— |
3 |
|
B |
— |
4 |
|
C |
A |
6 |
|
D |
B |
9 |
|
E |
B |
6 |
|
F |
C,D |
6 |
|
G |
D,E |
8 |
|
H |
G,F |
9 |
|
Activity |
Earliest Start |
Earliest Finish |
Latest Start |
Latest Finish |
Slack |
|
A |
|
|
|
|
|
|
B |
|
|
|
|
|
|
C |
|
|
|
|
|
|
D |
|
|
|
|
|
|
E |
|
|
|
|
|
|
F |
|
|
|
|
|
|
G |
|
|
|
|
|
|
H |
|
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|
|
|
2) Consider the tasks, durations, and predecessor relationships in the following network. Draw the network and answer the questions that follow.
|
Activity Description |
Immediate Predecessor(s) |
Optimistic (Weeks) |
Most Likely (Weeks) |
Pessimistic (Weeks) |
|
A |
— |
4 |
7 |
10 |
|
B |
A |
2 |
8 |
20 |
|
C |
A |
8 |
12 |
16 |
|
D |
B |
1 |
2 |
3 |
|
E |
D, C |
6 |
8 |
22 |
|
F |
C |
2 |
3 |
4 |
|
G |
F |
2 |
2 |
2 |
|
H |
F |
6 |
8 |
10 |
|
I |
E, G, H |
4 |
8 |
12 |
|
J |
I |
1 |
2 |
3 |
a. What is the expected time for activity B?
b. What is the variance for activity B?
c. Based on the calculation of estimated times, what is the critical path?
d. What is the estimated time of the critical path?
e. What is the activity variance along the critical path?
f. What is the probability of completion of the project before week 42?
3) Develop forecasts for periods 7 through 10 for the demand data in the table using a three period moving average, a weighted moving average using 0.6, 0.3, and 0.1, and exponential smoothing with alpha = 0.7. Use a 6th period forecast of 135 as the starting point for the exponential smoothing technique.
|
Period |
Actual |
MA n=3 |
WMA |
Exp. Smoothing |
|
1 |
64 |
|
|
|
|
2 |
84 |
|
|
|
|
3 |
91 |
|
|
|
|
4 |
97 |
|
|
|
|
5 |
115 |
|
|
|
|
6 |
135 |
|
|
|
|
7 |
137 |
|
|
|
|
8 |
144 |
|
|
|
|
9 |
153 |
|
|
|
|
10 |
171 |
|
|
|
4) Using the data shown in the table, develop a trend line that can be used to predict the demand for time period number 20. What is the prediction equation and what is your forecast for period 20?
|
|
Period |
Demand |
Demand2 |
Period*Demand |
|
|
1 |
16 |
|
|
|
|
2 |
20 |
|
|
|
|
3 |
24 |
|
|
|
|
4 |
27 |
|
|
|
|
5 |
29 |
|
|
|
|
6 |
30 |
|
|
|
|
7 |
32 |
|
|
|
|
8 |
35 |
|
|
|
|
9 |
36 |
|
|
|
|
10 |
38 |
|
|
|
Sums |
55 |
287 |
|
|
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