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[Business Analytics/Operational Management] (Excel) Capital budgeting: A firm has 6 projects that it would like to...

[Business Analytics/Operational Management] (Excel) Capital budgeting: A firm has 6 projects that it would like to undertake over the next 5 years but because of budget limitations not all can be selected. The total budget that the firm has considered to invest in the projects is $12,400,000. The following table displays the expected revenue (NPV) of each project after 5 years and the required yearly capital for each investment.

Table 1: Investment Details

Capital (in $000) required per year
Investment/
Project
Expected
NPV ($000)
Year 1 Year 2 Year 3 Year 4 Year 5

1

2

3

4

5

6

$2700
$3330
$7010
$5770
$2900
$4870
$ 975
$1200
$2500
$1550
$1400
$1900
$ 350
$ 200
$1200
$1350
$ 350
$1900
$ 200
$ 200
$ 850
$ 675
$87.5
$ 350
$ 100
$ 200
$ 400
$ 337.5
$ 21.875
$ 350
$ 50
$ 200
$ 400
$168.75
$ 0
$ 350

The capital available for the time period of each year is shown in the following table: (The $12,400,000 in investment capital is spread over the 5 years)

Capital (in $000) allocated per year
Year 1 Year 2 Year 3 Year 4 Year 5
$ 5800 $ 3500 $ 1300 $ 900 $ 900

In addition, the firm must follow a few federal and state laws regarding these projects:
1. Surplus capital funds in any year cannot be carried over from year to year.
2. If the firm decides to invest in the second investment/project, it must also invest in the fourth.
3. If the firm decides to invest in the first investment/project, it cannot invest in the third investment/project.
Considering the budget limitations and the laws, which of the investments/projects should be chosen to maximize potential NPV?
a. Formulate the Integer/Binary Linear Programming model in algebraic form. Define the decision variables, objective function, and constraints.
b. Formulate this same problem on a spreadsheet and SOLVE using Excel solver (Provide a printout of the corresponding “Excel Spreadsheet” and the “Answer Report”).
c. Describe clearly and completely the optimal solution to this problem using a managerial statement.

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