Activity 1 -
Given the following information, compute the required items: Florida Power & Light is attempting to modernize the meters placed at people houses. The company Operations Manager, Mr. Jacob Marina, has asked for your assistance in preparing part of the project plan. Mr. Marina has identified the tasks, durations (in days), and predecessor relationships, and provides them in the following table:
|
Activity
|
Immediate Predecessor(s)
|
Most Optimistic
|
Likely
|
Pessimistic
|
|
A
|
--
|
1
|
2
|
4
|
|
B
|
A
|
2
|
4
|
8
|
|
C
|
B
|
3
|
5
|
15
|
|
D
|
C
|
3
|
5
|
12
|
|
E
|
D
|
4
|
5
|
11
|
|
F
|
D
|
4
|
6
|
17
|
|
G
|
E
|
2
|
3
|
8
|
|
H
|
E
|
1
|
2
|
4
|
|
I
|
E
|
1
|
3
|
6
|
|
J
|
G, H, I
|
2
|
4
|
12
|
|
K
|
J
|
2
|
3
|
7
|
|
L
|
H
|
2
|
4
|
9
|
|
M
|
L
|
2
|
4
|
9
|
|
N
|
K, M
|
3
|
4
|
12
|
|
O
|
E, F
|
5
|
10
|
22
|
|
P
|
N, O
|
1
|
2
|
5
|
Required:
1. Draw the Activity on Node (AON) network.
2. Determine the expected completion time and variance for each activity.
3. Determine the total project completion time and activities along the critical path for the project.
4. Determine ES, EF, LS, LF, and slack for each activity.
5. Identify which activities are candidates for crashing, and explain why.
Activity 2 -
The following table presents the orders of Samson Company for the last 36 months (3 years).
|
Month
|
Order Year 1
|
Order Year 2
|
Order Year 3
|
|
January
|
502
|
614
|
712
|
|
February
|
408
|
592
|
698
|
|
March
|
491
|
584
|
686
|
|
April
|
456
|
532
|
644
|
|
May
|
481
|
599
|
694
|
|
June
|
511
|
604
|
702
|
|
July
|
522
|
624
|
724
|
|
August
|
500
|
612
|
716
|
|
September
|
510
|
625
|
732
|
|
October
|
512
|
627
|
740
|
|
November
|
520
|
650
|
745
|
|
December
|
536
|
680
|
756
|
1. Use the data in the above table and regression analysis to forecast the orders for the next 12 months (4th year). Include your excel work sheet and your work in your write up. Show the regression equation, values of intercept, slope, correlation coefficient and coefficient determination and the forecast of orders for the next 12 months.
2. Explain how you could make your forecast's results more reliable by incorporating a qualitative research to your quantitative results.
You need to show your work, as well as detailed responses to the questions.