Answer 2:
Based on the information given in the question, we will formulate an LP model as mentioned below:
Decision
Variables:
Let,
x1 = # No. of Speedybird Boats to be Purchased
x2 = # No. of Silverwings Boats to be Purchased
x3 = # No. of Capsman Boats to be Purchased
x4 = # No. of Motorclass Boats to be Purchased
Objective Function:
Here, an objective is to maximize the total daily expected profit, hence, the objective function:
Max Z = 70 x1 + 80 x2 + 50 x3 + 110 x4
Subject to Constraints:
C1 = 6000 x1 + 7000 x2 + 5000 x3 + 9000 x4 ≤ 420000 (Total Cost Budget)
C2 = x1 + x2 + x3 + x4 ≥ 50 (Total no. of boats should be at least 50)
C3 = x1 + x2 = x3 + x4 (No. of Boats Purchased from Sheerboat and Racerboat should be equal)
C4 = 3 x1 + 5 x2 + 2 x3 + 6 x4 ≥ 200 (Seating Capacity should be at least 200)
Non-Negativity Condition:
x1, x2, x3, x4 ≥ 0
[Note: As no specific information is given in the question, we will just formulate an LP model (i.e., No need to Solve) ]
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