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Decision Making And Construction

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Decision Making and Planning in Construction The formula to determine the most probable to complete the backyard swimming pool is as follows:

Where

a = Optimistic

m = Most probable

b =Pessimistic

The study uses Microsoft Excel software to calculate the probable time for the project. The results show that the project will be complete within 49.5 days, which is approximately 50 days as revealed in Table 1 below.

Activity

Immediate Predecessor

Duration in Days

Optimistic

Most Probable

Pessimistic

Expected Time

Project Schedule

The study uses the Microsoft Excel to develop the project schedule and output is revealed below:

The PERT distribution to complete the project is in Fig 1 as follows

Fig 1: PERT Distribution to Complete the Project

The stimulation to determine the expected time to complete the Swimming Pool project with 90% confidence is as follows:

Activity

Variance

Variance

A

(6-3)/36

0,08

B

(6-2)/36

0,11

C

(7-5)/36

0,06

D

(10-7) /36

0,08

E

(6-2)/36

0,11

F

(3-1)/36

0,06

G

(10-5)/36

0,14

H

(10-6)/36

0,11

i

(5-3)/36

0,06

Total

0,81

The next is to find the Standard Deviation (SD), which is the square root of the variance as follows:

Thus, Square root of 0.81 =0.90 days.

Thus, there is 90% confidence that the project will complete at expected time.

3. What is the estimated probability that the project can be completed in 25 or fewer days?

The critical part of the project is A-C-F and expected time is 12.83. The variance is 0.20, and the standard deviation is 0.44. Thus, P (X 25) is 65%.

Problem II

Activity

Optimistic

Most Probable

Pessimistic

Expected Times

Variance

A

4.0

5.0

6.0

B

2.5

3.0

3.5

C

6.0

7.0

8.0

D

5.0

5.5

9.0

E

5.0

7.0

9.0

F

I will also let them sign the document of engagement that they will be 100% responsible if the subcontractor fails the project. (Anderson, et al. 2003, Anderson, et al. 2017).
Answer to Question 4

I will provide the past records of the projects which I have successfully completed. I will submit a letter of recommendations from reputable general contractors in the country.

Reference

Anderson, D. R., Sweeney, D. J., Williams, T. A., Wisniewski, M., & Pierron, X. (2017). An introduction to management science: quantitative approaches to decision making. Andover, Hampshire: Cengage Learning EMEA.

Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2003). Solutions manual, An introduction to management science: quantitative approaches to decision making, 10th edition. Cincinnati, OH: Thomson/South-Western.

Sources used in this document:
Reference

Anderson, D. R., Sweeney, D. J., Williams, T. A., Wisniewski, M., & Pierron, X. (2017). An introduction to management science: quantitative approaches to decision making. Andover, Hampshire: Cengage Learning EMEA.

Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2003). Solutions manual, An introduction to management science: quantitative approaches to decision making, 10th edition. Cincinnati, OH: Thomson/South-Western.
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