1. The optimization model for the total ad exposures is Maximize: 6100n + 7200r.
2. The constraints are subject to the following:
Newspaper ads: 40n ≤ 13350 n ≤ 23
Radio ads: 500r ≤ 13350 r ≤ 35.
An optimization model is a mathematical technique that can find the best solution to a problem from a set of possible choices, taking into account some specific constraints and objectives.
The total monthly available funds for advertising = $13,350
The cost of newspaper ads per unit = $240
The total number of newspaper ads required per month, n ≤ 23
The cost of radio ads per unit = $500
The total number of radio ads required per month, r ≤ 35
The number of potential customers reached by each newspaper ad = 6,100
The number of potential customers reached by each radio ad = 7,200
To solve this problem, we can set up the following optimization model:
Maximize: 6100n + 7200r (total ad exposures)
Subject to:
Cost constraint for newspaper ads: 240n ≤ 13350 n ≤ 23
Cost constraint for radio ads: 500r ≤ 13350 r ≤ 35
Thus, we maximize the total ad exposures while staying within the cost and frequency constraints.