Use the Table Below to Answer the Following Questions) Use a Linear Optimization Model Based on the Data to Luthiers

question 41

Multiple Choice

Use the table below to answer the following questions) .
Pickson Luthiers Corporation makes four models of electric guitars, ScarCT, Dela Mort, Warax, and Invazen. Each guitar must flow through five departments, assembly, painting, sound testing, inspection, and packaging. The table below shows the relevant data. Production rates are shown in units/hour. ScarCT is assembled elsewhere) . Pickson wants to determine how many guitars to make to maximize monthly profit. $\begin{array} { |l|l|l|l|l|l| } \hline \begin{array} { l } \text {Pickson Luthiers }\\ \text {Corporation }\\\end{array}\\\hline\\\hline \text {Data}\\\hline \text { Guitar Model } & \begin{array}{l}\text { Selling } \\\text { price/Unit }\end{array} & \begin{array}{l}\text { Variable } \\\text { cost/Unit }\end{array} & \text { Min Sales } & \text { Max Sales } \\\hline \text { ScarCT } & 750.00 & 660.00 & 0 & 2500 \\\hline \text { Dela Mort } & 788.00 & 680.00 & 0 & 2000 \\\hline \text { Warax } & 800.00 & 700.00 & 100 & 1000 \\\hline \text { Invazen } & 850.00 & 800.00 & 80 & 500 \\\hline\\\hline \begin{array}{l}\text { Production rates } \\\text { units/hour) }\end{array} & \text { ScarCT } & \text { Dela Mort } & \text { Warax } & \text { Invazen } & \begin{array}{l}\text { Hours } \\\text { Available }\end{array} \\\hline \text { Assembly } & - & 35 & 25 & 20 & 220 \\\hline \text { Painting } & 35 & 20 & 15 & 10 & 220 \\\hline \text { Sound Testing } & 20 & 10 & 20 & 18 & 220 \\\hline \text { Inspection } & 10 & 12 & 8 & 5 & 220 \\\hline \text { Packaging } & 9 & 10 & 5 & 8 & 220\\\hline\end{array}$
Use a linear optimization model based on the data to answer the following question.
-According to the linear optimization model, what is the total number of ScarCTs produced?

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Definitions:

Exponential Smoothing Model

A time series forecasting method that applies weighted averages of past observations, decreasing exponentially as the observations get older.

Mean Square Error

A statistical measure used to evaluate the accuracy of a model by calculating the average squared difference between the estimated values and the actual value.

Smoothing Constant

A Smoothing Constant is a parameter used in exponential smoothing models for forecasting, which controls the weight given to the most recent observation.

Regression Method

A statistical process for estimating the relationships among variables, often used to predict the value of a dependent variable based on one or more independent variables.