Final answer:
To solve this problem using integer linear programming, let's define the decision variables and set up the objective function and constraints. Using the branch and bound method, we can find the integer solution that maximizes profit.
Step-by-step explanation:
To solve this problem using integer linear programming, let's define the decision variables:
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- x = number of coats to produce
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- y = number of slacks to produce
The objective function is to maximize profit, which can be expressed as:
Profit = 50x + 40y
Now, let's use the constraints:
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- 3x + 5y ≤ 150 (constraint on wool)
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- 10x + 4y ≤ 200 (constraint on labor)
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- x, y ≥ 0 (non-negativity constraint)
Using branch and bound method, we can solve this problem by dividing the feasible region into smaller subregions and exploring them.
By analyzing the constraints and objective function, we can find the integer solution that maximizes profit.