Given this linear programming model, solve the model and then answer the questions that follow. Maximize 12x1 + 18x2+ 15x3 where x1 = the quantity of product 1 to make etc. Subject to Machine 5x1 + 4x2 + 3x3 ≤ 160 minutes Labor 4x1 + 10x2 + 4x3 ≤ 288 hours Materials 2x1 + 2x2 + 4x3 ≤ 200 pounds Product 2 x2 ≤ 16 units x1, x2, x3 ≥ 0 If profit per unit on each product increased by $1, would the optimal values of the decision variables change? What would be the new value of the objective function? The objective function value Z=
Given this linear programming model, solve the model and then answer the questions that follow. Maximize 12x1 + 18x2+ 15x3 where x1 = the quantity of product 1 to make etc. Subject to Machine 5x1 + 4x2 + 3x3 ≤ 160 minutes Labor 4x1 + 10x2 + 4x3 ≤ 288 hours Materials 2x1 + 2x2 + 4x3 ≤ 200 pounds Product 2 x2 ≤ 16 units x1, x2, x3 ≥ 0 If profit per unit on each product increased by $1, would the optimal values of the decision variables change? What would be the new value of the objective function? The objective function value Z=
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Given this linear programming model, solve the model and then answer the questions that follow.
Maximize | 12x1 + 18x2+ 15x3 | where x1 = the quantity of product 1 to make etc. |
Subject to |
Machine | 5x1 | + | 4x2 | + | 3x3 | ≤ | 160 | minutes |
Labor | 4x1 | + | 10x2 | + | 4x3 | ≤ | 288 | hours |
Materials | 2x1 | + | 2x2 | + | 4x3 | ≤ | 200 | pounds |
Product 2 | x2 | ≤ | 16 | units | ||||
x1, x2, x3 | ≥ | 0 |
If profit per unit on each product increased by $1, would the optimal values of the decision variables change?
What would be the new value of the objective function?
The objective function value Z=
Expert Solution
Step 1
If the profit of each product is increased by the effect on the decision variables and objective function has to be examined.
The range of optimality is the range by which the coefficients of the objective function can change without affecting the optimality of the solution. This is also given by the Sensitivity Report by the solver which is as follows:
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