UPSC MainsMANAGEMENT-PAPER-II202015 Marks
Q8.

Advertising Campaign Optimization: Radio & Newspaper

A State Public Health Department has allocated ₹40,00,000 for advertising information on Coronavirus pandemic. Two types of advertisements will be used: Radio and Newspaper. Each radio advertisement costs ₹20,000 and reaches an estimated 3000 people. Each newspaper advertisement costs ₹50,000 and reaches an estimated 7000 people. In planning the advertising campaign, the Public Health Department would like to reach as many people as possible, but they have decided that at least 10 advertisements of each type must be used. How many advertisements of each type should be used ? How many people will this reach? Find the optimal solution that best satisfies all requirements.

How to Approach

This question is a classic linear programming problem disguised within a public health context. The approach involves formulating the problem mathematically, defining variables, objective function, and constraints. Then, we need to solve it to find the optimal number of radio and newspaper advertisements. The answer should clearly state the variables, the objective function, the constraints, the solution (number of each type of ad), and the total reach. A tabular representation of the solution is highly recommended.

Model Answer

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Introduction

Public health campaigns often face budgetary constraints while aiming for maximum impact. Effective resource allocation is crucial, especially during crises like pandemics. This requires a systematic approach to optimize the use of available funds to reach the largest possible audience with vital information. Linear programming, a mathematical technique, provides a powerful tool for such optimization problems. This question presents a scenario where a State Public Health Department needs to allocate funds between radio and newspaper advertisements to maximize reach, subject to budgetary and minimum advertisement constraints.

Problem Formulation

Let:

  • x = Number of radio advertisements
  • y = Number of newspaper advertisements

Objective Function

The objective is to maximize the total reach. The objective function is:

Maximize Z = 3000x + 7000y

Constraints

The problem is subject to the following constraints:

  • Budget Constraint: 20000x + 50000y ≤ 4000000 (Simplifies to 2x + 5y ≤ 400)
  • Minimum Radio Advertisements: x ≥ 10
  • Minimum Newspaper Advertisements: y ≥ 10
  • Non-negativity Constraints: x ≥ 0, y ≥ 0 (These are implicitly satisfied by the minimum advertisement constraints)

Graphical Solution (or Corner Point Method)

We can solve this linear programming problem graphically. First, we plot the constraints on a graph. The feasible region is the area that satisfies all constraints. The optimal solution lies at one of the corner points of the feasible region.

Let's find the corner points:

  • Intersection of x = 10 and y = 10: (10, 10)
  • Intersection of x = 10 and 2x + 5y = 400: 2(10) + 5y = 400 => 5y = 380 => y = 76. So, (10, 76)
  • Intersection of y = 10 and 2x + 5y = 400: 2x + 5(10) = 400 => 2x = 350 => x = 175. So, (175, 10)

Now, we evaluate the objective function Z at each corner point:

Corner Point (x, y) Z = 3000x + 7000y
(10, 10) Z = 3000(10) + 7000(10) = 30000 + 70000 = 100000
(10, 76) Z = 3000(10) + 7000(76) = 30000 + 532000 = 562000
(175, 10) Z = 3000(175) + 7000(10) = 525000 + 70000 = 595000

The maximum value of Z is 595000, which occurs at the point (175, 10).

Optimal Solution

Therefore, the Public Health Department should use 175 radio advertisements and 10 newspaper advertisements to maximize reach.

Total Reach

The total number of people reached will be:

Total Reach = 3000(175) + 7000(10) = 525000 + 70000 = 595000 people

Conclusion

In conclusion, by strategically allocating the ₹40,00,000 budget, the State Public Health Department can reach 595,000 people by utilizing 175 radio advertisements and 10 newspaper advertisements. This solution, derived through linear programming, demonstrates the power of mathematical optimization in public health resource allocation. Further analysis could consider factors like audience demographics and advertisement effectiveness to refine the campaign even further.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Linear Programming
A mathematical method for achieving the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships.
Objective Function
A mathematical expression that represents the goal or objective to be maximized or minimized in a linear programming problem.

Key Statistics

According to the World Health Organization (WHO), effective risk communication and community engagement are crucial for pandemic preparedness and response.

Source: WHO, 2023 (Knowledge Cutoff: 2023)

A study by Nielsen in 2021 showed that radio continues to reach 82% of adults in India every week, making it a significant medium for mass communication.

Source: Nielsen India, 2021 (Knowledge Cutoff: 2023)

Examples

COVID-19 Information Campaigns

During the COVID-19 pandemic, many governments used a combination of television, radio, and social media to disseminate information about the virus, vaccination, and safety protocols. The effectiveness of these campaigns varied depending on the target audience and the clarity of the messaging.

Frequently Asked Questions

What if the minimum advertisement constraints were not present?

Without the minimum constraints, the optimal solution might involve using only one type of advertisement. The solution would still be found by evaluating the corner points of the feasible region, but the feasible region would be different.

Topics Covered

EconomicsMathematicsManagementOperations ResearchMarketingBudget Allocation