Taco Loco is considering a new addition to their menu. They have test marketed a number of possibilities and narrowed them down to three new products, X, Y, and Z. Each of these products is made from a different combination of beef, beans, and cheese, and each product has a price point. Taco Loco feels they can sell an X for $17, a Y for $13, and a Z for $14. The company's management science consultant formulates the following linear programming model for company management.
Max R = 14Z + 13Y + 17X
subject to:
Beef 2Z + 3Y + 4X ≤ 28
Cheese 9Z + 8Y + 11X ≤ 80
Beans 4Z + 4Y + 2X ≤ 68
X,Y,Z ≥ 0
The sensitivity report from the computer model reads as follows:
Variable Cells
Cell $C$4 $D$4 $E$4 Name Z Y X Final Value 1.458.360 Reduced Cost 00−0.818 Objective Coefficient 141317 Allowable Increase 0.6380.818 Allowable Decrease 5.330.561E+30
Constraints
Cell $F$6 $F$7 $FS8 Name Beef Cheese Beans Final Value 288039.27 Shadow Price 0.451.450 Constraint R.H. Side 288068 Allowable Increase 2461E+30 Allowable Decrease 10.225.3328.73
-How many pounds of beans will Taco Loco have left over if they produce the optimal quantity of products X, Y, and Z?
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