The objective function that can be used to maximize the profit is :
P(a,b)= 15a + 8b.
An objective function is a linear representation of the form Z = ax + by, where a, b are constraints and x, y are variables that must be maximized or minimized. The decision variables are variables x and y. The objective function of a linear programming problem is required to find the optimal solution: maximise profit, minimise cost, or minimise resource use, right resource deployment.
The objective function is calculated as:
Let a = units of A produced
Let b = units of B produced
At least 30 units of product A and 10 units of product B are required daily, and the maximum number of units per day should not exceed 80.
Therefore
a ≥ 30
b ≥ 10
a + b ≤ 80
Product A yields a profit of $15 and product B yields a profit of $8.
Therefore the objective profit function is:
P(a,b) = 15a + 8b.
Therefore, the objective function is P(a,b) = 15a + 8b, subject to
a >= 30; b>= 10; a+b <= 80.
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