You are curious as to how much Rhonda and Steve made in their business last year. You do not have all the data, but you know that most of their expenses relate to buying the sweaters and having them monogrammed. You know they paid themselves $\$ 50,000$ each and you know the rent, utilities, insurance, and a benefit package for the business was about $\$ 20,000$. About how much do you think they made "before taxes" last year? If they must make their payment to the venture capital firm, and then pay $50$ percent in taxes, what was their increase in cash last year?

You are curious as to how much Rhonda and Steve made in their business last year. You do not have all the data, but you know that most of their expenses relate to buying the sweaters and having them monogrammed. You know they paid themselves $\$50,000$ each and you know the rent, utilities, insurance, and a benefit package for the business was about $\$20,000$. About how much do you think they made “before taxes” last year? If they must make their payment to the venture capital firm, and then pay 50 percent in taxes, what was their increase in cash last year?

Model most appropriate for making a one-time purchase of an item.

A particular forecasting model was used to forecast a six-month period. Here are the forecasts and actual demands that resulted. Find the tracking signal and state whether you think the model being used is giving acceptable answers.

In this item, solve the equation below:

2x+7+2x=19

The old deseasonalized forecast is $100$ units, a = $30$, and the actual demand for the last month was $180$ units. If the seasonal index for the last month is $1.2$ and the next month is $0.8$, calculate:
a. The deseasonalized actual demand for the last month.
b. The deseasonalized forecast for next month using exponential smoothing.
c. The forecast of actual demand for the next month.

Use regression analysis on deseasonalized demand to forecast demand in summer 2013, given the following historical demand data:

Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note, the first quarter is Jan, Feb, and Mar; second quarter Apr, May, Jun; third quarter Jul, Aug, Sep; and fourth quarter Oct, Nov, Dec.

Demand for stereo headphones and music players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows. To be reasonably confident of meeting demand, Nina decides to use three standard errors of estimate for safety. How many additional units should be held to meet this level of confidence?

The following table contains the number of complaints received in a department store for the first six months of operation. If a three-month moving average is used to smooth this series, what would have been the forecast for May?

Consider using a simple moving average model. Experiment with models using five weeks' and three weeks' past data. The past data in each region are given as follows (week $-1$ is the week before week $1$ in the table, $-2$ is two weeks before week $1$ , etc.). Evaluate the forecasts that would have been made over the $13$ weeks using the overall (at the end of the $13$ weeks) mean absolute deviation, mean absolute percent error, and tracking signal as criteria.

$$\begin{array}{lrrrrr} \text { Week } & -5 & -4 & -3 & -2 & -1 \\ \hline \text { Atlanta } & 45 & 38 & 30 & 58 & 37 \\ \text { Boston } & 62 & 18 & 48 & 40 & 35 \\ \text { Chicago } & 62 & 22 & 72 & 44 & 48 \\ \text { Dallas } & 42 & 35 & 40 & 64 & 43 \\ \text { LA } & 43 & 40 & 54 & 46 & 35 \\ \text { Total } & 254 & 153 & 244 & 252 & 198 \\ \hline \end{array}$$

What is global logistics and supply chain management?

U.S. Airfilter has hired you as a supply chain consultant. The company makes air filters for residential heating and air-conditioning systems. These filters are made in a single plant located in Louisville, Kentucky, in the United States. They are distributed to retailers through wholesale centers in 100 locations in the United States, Canada, and Europe. You have collected the following data relating to the value of inventory in the U.S. Airfilter supply chain. The company reported that it used $\$500$M worth of raw material during the year. On average, how many weeks of supply of raw material are on-hand at the factory?

The McDonald’s fast-food restaurant on campus sells an average of 4,000 quarter-pound hamburgers each week. Hamburger patties are resupplied twice a week, and on average the store has 350 pounds of hamburger in stock. Assume that the hamburger patties cost $1.00 a pound. What is the inventory turnover for the hamburger patties? On average, how many days of supply are on-hand?