Answer :
In a mathematical optimization problem, if 25% of pine for Burger Office Equipment becomes defective, this reduces the total available to 4500 board feet. This will affect the production of both standard and deluxe desks, and potentially the total profit. A re-optimization would need to be made to allocate the reduced pine resource between the two types of desks.
This problem is essentially a problem of linear programming, a mathematical method for determining a way to achieve the best outcome such as maximum profit or lowest cost, in a given mathematical model for some list of requirements represented as linear relationships. The variable S represents the number of standard desks and D the number of deluxe desks produced.
Suppose that 25% of pine becomes cosmetically defective, this means that only 75% of it is usable. Therefore, the available board feet of pine decreases from 6000 to 6000*0.75 = 4500 board feet. This would limit the number of both standard and deluxe desks that Burger Office Equipment could produce, since both types of desks require pine.
We cannot determine the exact impact on the optimal solution without knowing the full specifics of the linear optimization model. However, generally, in such problems, a reduced supply of one resource (in this case, pine) would require a re-optimization of how that resource is allocated between the two types of desks. This can affect both the number of each type of desk that is produced and the total profit.
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