Question
(a) What are the ranges of optimality for the profit of Product 1, Product 2, Product 3, and Product 4? (b) Find the dual prices
(a) What are the ranges of optimality for the profit of Product 1, Product 2, Product 3, and Product 4?
(b) Find the dual prices of the three constraints and interpret their meanings. What are the ranges in which each of these dual prices is valid?
(c) If the profit contribution of Product 3 changes from $24 per unit to $50 per unit, what will be the optimal solution? What will be the new total profit? (Note: Answer this question by using the ranging results. Do not solve the problem again).
(d) Which resource should be obtained in larger quantity to increase the profit most? (Note: Answer this question using the ranging results given above. Do not solve the problem again).
Let P1 = number of Product 1 to be produced
P2 = number of Product 2 to be produced
P3 = number of Product 3 to be produced
P4 = number of Product 4 to be produced
Maximize 15P1 + 20P2 + 24P3 + 15P4 Total profit
Subject to
8P1 + 12P2 + 10P3 + 8P4 3000 Material requirement constraint
4P1 + 3P2 + 2P3 + 3P4 1000 Labor hours constraint
P2 > 120 Minimum quantity needed for Product 2 constraint
And P1, P2, P3, P4 0 Non-negativity constraints
The QM for Windows output for this problem is given below.
Linear Programming Results:
Variable | Status | Value |
P1 | Non Basic | 0 |
P2 | Basic | 120 |
P3 | Basic | 156 |
P4 | Non Basic | 0 |
slack 1 | Non Basic | 0 |
slack 2 | Basic | 328 |
surplus 3 | Non Basic | 0 |
optimal Value (Z) | 6144 |
Ranging Results:
Variable | Value | Reduced Cost | Original Val | Lower Bound | Upper Bound |
P1 | 0 | 4.2 | 15 | - infinity | 19.2 |
P2 | 120 | 0 | 20 | - infinity | 28.8 |
P3 | 156 | 0 | 24 | 18.75 | Infinity |
P4 | 0 | 4.2 | 15 | - infinity | 19.2 |
Constraint | Dual Value | Slack/Surplus | Original Val | Lower Bound | Upper Bound |
Material Constraint | 2.4 | 0 | 3000 | 1440 | 4640 |
Labor Constraint | 0 | 328 | 1000 | 672 | infinity |
Product 2 Constraint | -8.8 | 0 | 120 | 0 | 250
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