Linear Programming Case Study
Essay by rhondasharif • August 4, 2019 • Case Study • 643 Words (3 Pages) • 966 Views
Linear Programming
INFO562-64
Dr. Nicole Koppel and Professor Teresa Dantzler
By: Vincent Nicastro and Rhonda Sharif
- Case Synopsis
Street Vibes is a Miami, Florida-based upscale dance club that has hired the advertising firm of Mayer, Mann, and Merlin (MMM) to help its management formulate a marketing plan for the coming season. Street Vibes management has sought MMM’s recommendation concerning how the management team should distribute the advertising budget across the three advertising channels the company uses namely: SiriusXM, Social Media, and Internet Radio. Additionally, Street Vibes management wants MMM consultants to determine the impact a $25,000 reduction in budgeted advertising funds would have on the marketing plan. The company’s budget for the coming season is $375,000, but the three advertising channels differ in terms of exposure rating, new customers reached and cost, thus Street Vibes management wants MMM consultant’s help in determining the optimal marketing decisions.
- Methodology
MMM consultants used linear programming based on the information provided by the management of Street Vibes. The management provided vital information such as the projected exposure rating per ad, new customers per ad and cost per ad from which MMM consultants were able to determine the reliability of the exposure ratings based on the number of ads for each media. The following is the mathematical programming model based on the data provided by management of Street Vibes:
S1- number of SiriusXM advertisements with rating of 100 and 4000 new customers
S2 - number of SiriusXM advertisements with rating of 65 and 1500 new customers
S3- number of Social Media advertisements with rating of 30 and 2000 new customers
S4- number of Social Media advertisements with rating of 20 and 1200 new customers
S5- number of Internet Radio advertisements with rating of 15 and 1000 new customers
S6- number of Internet Radio advertisements with rating of 8 and 200 new customers
N1: no. of ads for SiriusXM
N2: no. of ads for Social Media
N3: no. of ads for Internet Radio
Constraints:
N1*(S1+S2)≥160000
N2*(S3+S4)≤150000
N3*(S5+S6)≥35000
N1≤20
N2≥2*N1
- Findings and Conclusions
Street Vibe’s optimal marketing decision would be to allocate $171,000 for SiriusXM ads, $150,000 for Social Media ads and $54,000 to Internet Radio ads. This mix of advertising would enable Street Vibe to reach a total of 171,900 new customers with Social Media being the most effective channel with a total of 76,000 new customers reached. However, if the budget is reduced by $25,000, then Street Vibe should set aside $162,000 for SiriusXM ads and $38,000 for Internet Radio ads. The budget for Social Media ads should remain unchanged. The following tables present a summary schedule showing the recommended number of SiriusXM, Social Media, and Internet Radio advertisements and the budget allocation for each medium:
| Variables | Number of Ads | Exposure Rating per Ad | New Customer per Ad | Total Customers Reached | Cost per Ad | Budget |
SiriusXM | S1 | 14 | 100 | 4000 | 56000 | 9000 |
|
| S2 | 5 | 65 | 1500 | 7500 |
| $171,000 |
|
| 19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Social Media | S3 | 20 | 30 | 2000 | 40000 | 3000 |
|
| S4 | 30 | 20 | 1200 | 36000 |
|
|
|
| 50 |
|
|
|
| $150,000 |
|
|
|
|
|
|
|
|
Internet Radio | S5 | 27 | 15 | 1000 | 27000 | 1,000 |
|
| S6 | 27 | 8 | 200 | 5400 |
|
|
|
| 54 | 238 |
| 171900 |
| $54,000 |
Table 1: Advertising budget of $375,000
| Variables | Number of Ads | Exposure Rating per Ad | New Customer per Ad | Total Customers Reached | Cost per Ad | Budget |
SiriusXM | S1 | 14 | 100 | 4000 | 56000 | 9000 |
|
| S2 | 4 | 65 | 1500 | 6000 |
| $162,000 |
|
| 18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Social Media | S3 | 20 | 30 | 2000 | 40000 | 3000 |
|
| S4 | 30 | 20 | 1200 | 36000 |
|
|
|
| 50 |
|
|
|
| $150,000 |
|
|
|
|
|
|
|
|
Internet Radio | S5 | 27 | 15 | 1000 | 27000 | 1,000 |
|
| S6 | 11 | 8 | 200 | 2200 |
|
|
|
| 38 | 238 |
| 167200 |
| $38,000 |
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