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

question 16

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 2 to be purchased?

• A) 50,000
• B) 62,000
• C) 0
• D) 2,405

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Definitions:

Statistical Evidence

Data and information gathered from statistical analyses that support or reject hypotheses, used to make conclusions or inferences about the characteristics of populations.

P-Value

The probability of obtaining test results at least as extreme as the results observed, assuming that the null hypothesis is correct.

Alpha (α)

In hypothesis testing, the threshold probability for incorrectly rejecting the null hypothesis, representing the level of significance of the test.

Beta (β)

In statistics, it often represents the probability of committing a Type II error, or in regression, it denotes the slope coefficients representing the change in the dependent variable for a one-unit change in the independent variable.