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Taco Loco Is Considering a New Addition to Their Menu  Variable Cells \text { Variable Cells }

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Short Answer

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 \text { Variable Cells }
 Cell  Name  Final  Value  Reduced  Cost  Objective  Coefficient  Allowable  Increase  Allowable  Decrease  $C$4 Z1.450140.635.33 $D$4  Y 8.3601380.56 $E$4 X00.818170.8181E+30\begin{array}{llccccc}\hline \text { Cell } & \text { Name } & \begin{array}{c}\text { Final } \\\text { Value }\end{array} & \begin{array}{c}\text { Reduced } \\\text { Cost }\end{array} & \begin{array}{c}\text { Objective } \\\text { Coefficient }\end{array} & \begin{array}{c}\text { Allowable } \\\text { Increase }\end{array} & \begin{array}{c}\text { Allowable } \\\text { Decrease }\end{array} \\\hline \text { \$C\$4 } & \mathrm{Z} & 1.45 & 0 & 14 & 0.63 & 5.33 \\\hline \text { \$D\$4 } & \text { Y } & 8.36 & 0 & 13 & 8 & 0.56 \\\hline \text { \$E\$4 } & \mathrm{X} & 0 & -0.818 & 17 & 0.818 & 1 \mathrm{E}+30 \\\hline\end{array}

 Constraints \text { Constraints }
 Cell  Name  Final  Value  Shadow  Price  Constraint  R.H. Side  Allowable  Increase  Allowable  Decrease  $F$6  Beef 280.4528210.22 $F$7  Cheese 801.4580465.33 $F$8  Beans 39.270681E+3028.73\begin{array}{llccccc}\hline {\text { Cell }} & {\text { Name }} & \begin{array}{c}\text { Final } \\\text { Value }\end{array} & \begin{array}{c}\text { Shadow } \\\text { Price }\end{array} & \begin{array}{c}\text { Constraint } \\\text { R.H. Side }\end{array} & \begin{array}{c}\text { Allowable } \\\text { Increase }\end{array} & \begin{array}{c}\text { Allowable } \\\text { Decrease }\end{array} \\\hline \text { \$F\$6 } & \text { Beef } & 28 & 0.45 & 28 & 2 & 10.22 \\\hline \text { \$F\$7 } & \text { Cheese } & 80 & 1.45 & 80 & 46 & 5.33 \\\hline \text { \$F\$8 } & \text { Beans } & 39.27 & 0 & 68 & 1 \mathrm{E}+30 & 28.73 \\\hline\end{array}
-Taco Loco should produce both ________ but should not make any ________.

Understand the concept of reinforcement and its role in operant conditioning.
Recognize the adaptive value of conditioned responses in natural environments.
Understand the basic principles of operant conditioning.
Identify and differentiate between types of reinforcers (positive, negative, primary, secondary).

Definitions:

Critical Path

The sequence of stages determining the minimum time needed for an operation, project, or process development.

Variance

A statistical measure that represents the dispersion or spread of a set of data points or values around their mean.

Time-Cost Tradeoffs

In project management, the relationship between the time to complete a task and the cost associated with it, illustrating how increasing speed can lead to higher costs.

CPM Networks

CPM Networks, standing for Critical Path Method Networks, are project management tools used to schedule, organize, and coordinate tasks within a project.

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