Use the Table Below to Answer the Following Questions) Answer the Following Questions Using a Linear Optimization Model

question 46

Multiple Choice

Use the table below to answer the following questions) .
Remington Textiles has a mill that produces three types of fabrics on a make-to-order basis. The mill operates on a 24/7 basis. The key decision facing the plant manager is about the type of loom needed to process each fabric during the coming 12 weeks to meet demands for the three fabrics and not exceed the capacity of the looms in the mill. Two types of looms are used: Jaquard and Northrop. Jaquard looms can be used to make all fabrics and are the only looms that can weave certain fabrics, such as plaids. Demands, variable costs for each fabric, and production rates on the looms are given in the table below. The mill has 10 Northrop looms and 2 Jaquard looms. Any fabrics that cannot be woven in the mill because of limited capacity will be purchased from an external supplier, finished at the mill, and sold at the selling price. In addition to determining which looms to use to process the fabrics, the manager also needs to determine which fabrics to buy externally. $\begin{array}{|l|l|l|l|l|l|}\hline\text { Remington } & & & \\\text { Textiles } & & & \\\hline & & & &\\\hline \text { Data }\\\hline \text { Fabric } & \text { Demand } & \text { Jaquard } & \text { Northrop } \\&&\text { Capacity } & \text { Capacity } & \text { Mill Cost } & \text { Outsourcing } \\&\text { yards) } & \text { yards/hour) } & \text { yards/hour) } & \text { \$/yard) } & \text { Cost \$/yard) }\\\hline 1 & 50,000 & 5.6 & 0 & 0.53 & 0.81 \\\hline 2 & 62,000 & 5.2 & 4.8 & 0.6 & 0.85 \\\hline 3 & 35,000 & 4.8 & 4.5 & 0.71 & 0.84 \\\hline\end{array}$ Answer the following questions using a linear optimization model.
-According to the model, what is the total amount of Fabric 1 to be produced on Jaquard?

• A) 50,000
• B) 0
• C) 27,420.8
• D) 22,579.2

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Definitions:

Factor A Levels

Factor A Levels refer to the different categories or values that an experimental factor, known as Factor A, can assume in an experiment.

Significance Level

A threshold in hypothesis testing that defines the probability of rejecting a true null hypothesis, commonly denoted by alpha (α).

Test Statistic

A numerical value calculated from a sample used in statistical hypothesis testing to determine whether to reject the null hypothesis.

Normal Distribution

A probability distribution characterized by its symmetry surrounding the mean, demonstrating that data points close to the mean occur more frequently than those at a greater distance.