Use the Following Data Set to Answer Questions 86-100 -Consider the Data on Inventory of Widgets Over a 10-Day

question 65

Multiple Choice

Use the following data set to answer questions 86-100. $$\begin{array}{l}\text { Inventory of Widgets Dver a 10-Day Period }\\\begin{array} { | l | l | l | l | l | l | l | } \hline \text { Day } & \begin{array} { l } \text { Supply } \\\text { Received }\end{array} & \begin{array} { l } \text { Beginning } \\\text { lnventory }\end{array} & \text { Demand } & \begin{array} { l } \text { Ending } \\\text { Inventory }\end{array} & \begin{array} { l } \text { Order } \\\text { Placed }\end{array} & \begin{array} { l } \text { Lead } \\\text { Time }\end{array} \\\hline 1 & & 30 & 8 & 22 & \text { NO } & \\\hline 2 & & 22 & 5 & 17 & \text { NO } & \\\hline 3 & & 17 & 6 & 11 & \text { YES } & 1 \\\hline 4 & & 11 & 8 & 3 & \text { NO } & \\\hline 5 & 20 & 23 & 7 & 16 & \text { NO } & \\\hline 6 & & 16 & 7 & 9 & \text { YES } & 1 \\\hline 7 & & 9 & 6 & 3 & \text { YES } & \\\hline 8 & 20 & 23 & 6 & 17 & \text { NO } & \\\hline 9 & & 17 & 5 & 12 & \text { YES } & 1 \\\hline 10 & & 12 & 7 & 5 & \text { NO } & \\\hline\end{array}\end{array}$$
-Consider the data on Inventory of Widgets Over a 10-Day Period.Any time that ending inventory falls to 15 or below,an order is placed for 20 units of the product.The lead time for delivery varies and is shown in the column under Lead Time.If the ordering costs are $15 per order,what are the total ordering costs during the 10-day period?

• A)$115
• B)$575
• C)$45
• D)$230

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Sales Mix

The combination of different products or services that a company sells, impacting the overall profitability and performance of the business.

CVP Analysis

Short for Cost-Volume-Profit Analysis, a tool that helps determine how changes in costs and volume affect a company's operating income and net income.

Disposable Income

The amount of money that households have available for spending and saving after income taxes have been accounted for.

Sensitivity Analysis

A technique used to determine how different values of an independent variable affect a particular dependent variable under a given set of assumptions.