The computer solution is shown in Figure 3.17. a. What is the optimal solution, and what is the value of the objective function? b. Which constraints are binding? Which constraint shows extra capacity? How much? d. If the profit for the deluxe model were increased to $150 per unit, would the optimal solution change? Use the information in Figure 3.17 to answer this question. c.

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Chapter2: Systems Of Linear Equations
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12. Quality Air Conditioning manufactures three home air conditioners: an economy model, a
standard model, and a deluxe model. The profits per unit are $63, $95, and $135, respec-
tively. The production requirements per unit are as follows:
Number of
Fans
Manufacturing
Time (hours)
Number of
Cooling Coils
Economy
Standard
Deluxe
1
8
1
2
1
12
1
4
14
For the coming production period, the company has 200 fan motors, 320 cooling coils,
and 2400 hours of manufacturing time available. How many economy models (E), stan-
dard models (S), and deluxe models (D) should the company produce in order to maximize
profit? The linear programming model for the problem is as follows:
Max 63E + 95S + 135D
s.t.
1E + 1S +
1D< 200
Fan motors
1E + 2S +
Cooling coils
Manufacturing time
4D < 320
8E + 12S + 14D < 2400
E, S, D 0
Transcribed Image Text:12. Quality Air Conditioning manufactures three home air conditioners: an economy model, a standard model, and a deluxe model. The profits per unit are $63, $95, and $135, respec- tively. The production requirements per unit are as follows: Number of Fans Manufacturing Time (hours) Number of Cooling Coils Economy Standard Deluxe 1 8 1 2 1 12 1 4 14 For the coming production period, the company has 200 fan motors, 320 cooling coils, and 2400 hours of manufacturing time available. How many economy models (E), stan- dard models (S), and deluxe models (D) should the company produce in order to maximize profit? The linear programming model for the problem is as follows: Max 63E + 95S + 135D s.t. 1E + 1S + 1D< 200 Fan motors 1E + 2S + Cooling coils Manufacturing time 4D < 320 8E + 12S + 14D < 2400 E, S, D 0
FIGURE 3.17 THE SOLUTION FOR THE QUALITY AIR CONDITIONING PROBLEM
Optimal Objective Value =
16440.00000
Variable
Value
Reduced Cost
E
80.00000
0.00000
120.00000
0.00000
0.00000
-24.00000
Constraint
Slack/Surplus
Dual Value
1
0.00000
31.00000
0.00000
32.00000
3
320.00000
0.00000
Objective
Allowable
Allowable
Variable
Coefficient
Increase
Decrease
E
63.00000
12.00000
15.50000
95.00000
31.00000
8.00000
135.00000
24.00000
Infinite
RHS
Allowable
Allowable
Constraint
Value
Increase
Decrease
1
200.00000
80.00000
40.00000
320.00000
80.00000
120.00000
3
2400.00000
Infinite
320.00000
The computer solution is shown in Figure 3.17.
a. What is the optimal solution, and what is the value of the objective function?
b. Which constraints are binding?
c. Which constraint shows extra capacity? How much?
d. If the profit for the deluxe model were increased to $150 per unit, would the optimal
solution change? Use the information in Figure 3.17 to answer this question.
Transcribed Image Text:FIGURE 3.17 THE SOLUTION FOR THE QUALITY AIR CONDITIONING PROBLEM Optimal Objective Value = 16440.00000 Variable Value Reduced Cost E 80.00000 0.00000 120.00000 0.00000 0.00000 -24.00000 Constraint Slack/Surplus Dual Value 1 0.00000 31.00000 0.00000 32.00000 3 320.00000 0.00000 Objective Allowable Allowable Variable Coefficient Increase Decrease E 63.00000 12.00000 15.50000 95.00000 31.00000 8.00000 135.00000 24.00000 Infinite RHS Allowable Allowable Constraint Value Increase Decrease 1 200.00000 80.00000 40.00000 320.00000 80.00000 120.00000 3 2400.00000 Infinite 320.00000 The computer solution is shown in Figure 3.17. a. What is the optimal solution, and what is the value of the objective function? b. Which constraints are binding? c. Which constraint shows extra capacity? How much? d. If the profit for the deluxe model were increased to $150 per unit, would the optimal solution change? Use the information in Figure 3.17 to answer this question.
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