The Vandelay furniture company makes bookshelves and tables.Consider the following Linear Programming Model: X1 = the number of bookshelves made in a day. X2 = the number of tables made in a day. Maximize: Z = 50X1 +50X2 Profit ($) Subject to: 20X1 + 11X2 <= 100 Labor (hours) 7.1X1 + 10X2 <= 50 Lumber (board-feet)What's the lowest profit on a bookshelf can be, without changing the optimal solution?Another way to ask this is, what's the lower bound on the sensitivity range for C1?(Round your answer to 1 decimal place.)
Question
The Vandelay furniture company makes bookshelves and tables.Consider the following Linear Programming Model: X1 = the number of bookshelves made in a day. X2 = the number of tables made in a day. Maximize: Z = 50X1 +50X2 Profit ($) Subject to: 20X1 + 11X2 <= 100 Labor (hours) 7.1X1 + 10X2 <= 50 Lumber (board-feet)What's the lowest profit on a bookshelf can be, without changing the optimal solution?Another way to ask this is, what's the lower bound on the sensitivity range for C1?(Round your answer to 1 decimal place.)
Solution
To find the lower bound on the sensitivity range for C1, we need to perform sensitivity analysis on the linear programming model.
The sensitivity range for an objective function coefficient is the range of values over which the current optimal solution (values of decision variables) will remain optimal.
In this case, we are looking for the range of values for the profit on a bookshelf (C1) that will keep the current solution optimal.
Unfortunately, without additional information such as the optimal solution (values of X1 and X2) and the dual prices (shadow prices) for the constraints, we cannot calculate the exact sensitivity range.
However, the process would involve using the dual prices to calculate the rate of change of the objective function with respect to changes in C1, and then finding the range of values for C1 that keep this rate of change positive (since we are maximizing).
This typically involves solving a system of inequalities, and the lower bound would be the smallest value of C1 that satisfies all these inequalities.
Please provide the missing information so we can proceed with the calculation.
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