Business Management 2321 Case Study #3 – Version f due Thursday, April 17th, at the beginning of Recitation



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Business Management 2321

Case Study #3 – Version F

Due Thursday, April 17th, at the beginning of Recitation

Linear Programming Formulations, Running Solver, and Interpreting Results

Attached are five linear program formulations similar to those done in class. Input the formulations into EXCEL and use Solver to determine the optimal answer.

1. Download the EXCEL spreadsheet for Case Study 2 from Carmen

2. There is a worksheet for each of the problems.

a. The first worksheet contains a template for the Portfolio Analysis problem with the decision variables defined as column labels and the constraints defined as row labels.


  • Input the coefficients for the decision variables in the objective function and constraints.

  • Input the equations for the cells in the LHS column and the constants in the cells in the RHS column.

  • Run SOLVER by identifying the target cell, the changing cells, and the constraints and save the optimal solution.

b. The worksheets for the Advertising problem, the Staffing problem, the Diet problem, and the Production Mix problem are blank.

  • Descriptively name the decision variables and constraints with labels with meaning to the problem (for example, don’t use X1, X2, etc. for the decision variables).

  • Input the coefficients for the decision variables in the objective function and constraints.

  • Input the equations for the cells in the LHS column and the constants in the cells in the RHS column.

  • Run SOLVER by identifying the target cell, the changing cells, and the constraints and save the optimal solution.

Case Study Requirements:

  1. Cover sheet from this document with all of the team member names (TYPED!) and signatures. (1 page portrait)

  2. Summary sheet with the answers to the 6 linear programs. (1 page portrait)

c. EXCEL worksheet for each problem (6 pages landscape)

  • 0.5” page margins on the top, bottom, and sides

  • Output centered vertically and horizontally. Do not increase the size of the output over 100% in an effort to fill the entire page!

  • Solution clearly identified in the spreadsheet

  • 0.5” space between the title box and the solution.

d. Up to 25 percentage points will be deducted for “non-professional” reports.

e. Points will be deducted for excess output (there should be 9 pages total, DO NOT PRINT 2-SIDED).

1. Scheduling Aircraft

Brutus Etu is employed by Buckeye Airlines and has been given the following schedule of flights among the four cities it serves (“A”, “B”, “C”, and “D”). The numbers of passengers on each flight are in the columns with the heading “#”.



City “A” to City “B”




City “A” to City “C”




City “A” to City “D”

Flight

Departs

Arrives

#




Flight

Departs

Arrives

#




Flight

Departs

Arrives

#

AB1

6:00am

12:30pm

100




AC1

7:00am

11:30am

94




AD1

8:00am

1:30pm

125

AB2

1:00pm

7:30pm

82




AC2

12:00pm

4:30pm

103




AD2

12:00pm

5:30pm

112











































City “B” to City “A”




City “B” to City “C”




City “B” to City “D”

Flight

Departs

Arrives

#




Flight

Departs

Arrives

#




Flight

Departs

Arrives

#

BA1

8:00am

2:30pm

80




BC1

9:00am

1:30pm

93




BD1

7:00am

1:30pm

91

BA2

3:00pm

9:30pm

75




BC2

2:00pm

6:30pm

74




BD2

12:00pm

6:30pm

56











































City “C” to City “A”




City “C” to City “B”




City “C” to City “D”

Flight

Departs

Arrives

#




Flight

Departs

Arrives

#




Flight

Departs

Arrives

#

CA1

9:00am

1:30pm

149




CB1

6:00am

10:30am

83




CD1

7:00am

12:30pm

113

CA2

2:00pm

6:30pm

106




CB2

3:00pm

7:30pm

96




CD2

1:00pm

6:30pm

125











































City “D” to City “A”




City “D” to City “B”




City “D” to City “C”

Flight

Departs

Arrives

#




Flight

Departs

Arrives

#




Flight

Departs

Arrives

#

DA1

7:00am

12:30pm

120




DB1

8:00am

2:30pm

135




DC1

6:00am

11:30am

107

DA2

2:00pm

7:30pm

79




DB2

12:00pm

6:30pm

98




DC2

3:00pm

8:30pm

51
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