In: Statistics and Probability
A department store is planning their Spring advertising campaign. They have budgeted $200,000 to use for advertising, and wish to reach the maximum number of potential customers. The advertising firm they are using has carefully obtained the following planning data, to ensure that their client is able to get the most customer impressions possible.
Characteristics |
Advertising Medium |
||
Newspaper |
Radio |
Television |
|
People reached per unit |
40,000 |
120,000 |
175,000 |
Number of persons with higher income per unit |
25,000 |
40,000 |
56,000 |
Number of married households per unit |
20,000 |
30,000 |
46,000 |
Maximum number of ad spots available |
150 |
120 |
60 |
Minimum number of ad purchases required |
30 |
40 |
40 |
Cost per ad |
315 |
160 |
1,600 |
The department store would like to meet the following objectives as a part of its ad campaign:
1) To reach at least 3 million persons in the area.
2) To reach at least 1.3 million persons in the area with above-average income.
3) To reach at least 600,000 married households in the area.
Create a linear programming model that would be used to determine the department store's most effective advertising plan for the next year. Put this into Excel, and using Excel Solver, find the optimal solution for this problem.
ANSWER::
Solving this linear programming problem using Excel Solver.
Excel setup is done below as shown:
Go to File-> Options-> Excel Add ins -> Solver Add
in
Now go to Data -> Solver and setup Solver with decision
variables, objective function and constraints.
Click on Solver to get the optimal solution as below:
Hence, department store's most effective advertising plan for the next year is
- Purchase 150 Newspaper,120 Radio and 60 Television ads
- Maximum reach is 30.9 million
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