***PLEASE SHOW ANY FORMULAS USED IN EXCEL***

Big10Sweaters.com is a new company started last year by two recent college graduates. The idea behind the company was simple. They will sell premium logo sweaters for Big Ten colleges with one major, unique feature. This unique feature is a special large monogram that has the customer's name, major, and year of graduation. The sweater is the perfect gift for graduating students and alumni, particularly avid football fans who want to show support during the football season. The company is off to a great start and had a successful first year while selling to only a few schools. This year they plan to expand to a few more schools and target the entire Big Ten Conference within three years.

You have been hired by Big10Sweaters.com and need to make a good impression by making good supply chain decisions. This is your big opportunity with a startup. There are only two people in the firm and you were hired with the prospect of possibly becoming a principal in the future. You majored in supply chain (operations) management in school and had a great internship at a big retailer that was getting into Internet sales. The experience was great, but now you are on your own and have none of the great support that the big company had. You need to find and analyze your own data and make some big decisions. Of course, Rhonda and Steve, the partners who started the company, are knowledgeable about this venture and they are going to help along the way.

Rhonda had the idea to start the company two years ago and talked her friend from business school, Steve, to join her. Rhonda is into web marketing, has a degree in computer science, and has been working on completing an online MBA. She is as much an artist as a techie. She can really make the website sing.

Steve majored in accounting and likes to pump the numbers. He has done a great job of keeping the books and selling the company to some small venture capital people in the area. Last year, he was successful in getting them to invest $2,000,000 in the company (a onetime investment). There were some significant strings attached to this investment in that it stipulated that only $100,000 per year could go toward paying the salary of the two principals. The rest had to be spent on the website, advertising, and inventory. In addition, the venture capital company gets 25 percent of the company profits, before taxes, during the first four years of operation, assuming the company makes a profit.

Your first job is to focus on the firm's inventory. The company is centered on selling the premium sweaters to college football fans through a website. Your analysis is important since a significant portion of the company's assets is the inventory that it carries.

The business is cyclic, and sales are concentrated during the period leading up to the college football season, which runs between late August and the end of each year. For the upcoming season, the firm wants to sell sweaters to only a few of the largest schools in the Midwest region of the United States. In particular, they are targeting The Ohio State University (OSU), the University of Michigan (UM), Michigan State University (MSU), Purdue University (PU), and Indiana University (IU). These five schools have major football programs and a loyal fan base.

The firm has considered the idea of making the sweaters in their own factory, but for now they purchase them from a supplier in China. The prices are great, but service is a problem since the supplier has a 20-week lead time for each order and the minimum order size is 5,000 sweaters. The order can consist of a mix of the different logos, such as 2,000 for OSU, 1,500 for UM, 750 for MSU, 500 for PU, and 250 for IU. Within each logo sub lot, sizes are allocated based on percentages and the supplier suggests 20 percent X-large, 50 percent large, 20 percent medium, and 10 percent small based on their historical data.

Once an order is received, a local subcontractor applies the monograms and ships the sweaters to the customer. They store the inventory of sweaters for the company in a small warehouse area located at the subcontractor.

This is the company's second year of operation. Last year they only sold sweaters for three of the schools, OSU, MU, and PU. They ordered the minimum 5,000 sweaters and sold all of them, but the experience was painful since they had too many MU sweaters and not enough for OSU fans. Last year they ordered 2,300 OSU, 1,800 MU, and 900 PU sweaters. Of the 5,000 sweaters, 342 had to be sold at a steep discount on eBay ($50.00/sweater) after the season. They were hoping not to do this again.

For the next year, you have collected some data relevant to the decision. Below shows cost information for the product when purchased from the supplier in China. Here we see that the cost for each sweater, delivered to the warehouse of our monogramming subcontractor, is $60.88. This price is valid for any quantity that we order above 5,000 sweaters. This order can be a mix of sweaters for each of the five schools we are targeting. The supplier needs 20 weeks to process the order, so the order needs to be placed around April 1 for the upcoming football season. These have been in negotiation the past few weeks and may change. They are not willing to bend on the fixed cost per order of $50. This is not per unit, typically cost of ordering and shipping and handling from China Supplier to Domestic subcontractor.

	Cost Information for the Big Ten Sweaters
China Supplier Cost
Materials		$ 32.00
Labor		10.50
Overhead		1.25
Transportation within China		1.00
Supplier Profit		8.95
Agent's Fee		2.68
Freight (Ocean Carrier)		1.50
Duty, Insurance, etc.		3.00
Total Supplier Cost			$60.88
Domestic Subcontractor Cost
Monogram Material		$ 5.00
Labor		8.00
Total Subcontractor Cost			$13.00
Total Cost (per sweater)			$73.88

Our monogramming subcontractor gets $13 for each sweater. They also charge a 2% holding cost based on the $73.88 per sweater cost. Shipping cost is paid by the customer when the order is placed.

In addition to the cost data, you also have some demand information, as shown below. The exact sales numbers for last year are given. The exhibit indicates the retail ($120/sweater) or full price sales for the sweaters. Sweaters that we had at the end of the season were sold through eBay for $50 each and were not monogrammed. Keep in mind that the retail sales numbers do not accurately reflect actual demand since they stocked out of the OSU sweaters toward the end of the season.

Forecast Data for the Big Ten Sweaters

School Name	AVG Game Attendance	EBAY Sales Last Yr	Last Yrs Actual Sales	This Yrs Average Forecast
OSU	105,261		2,300	2600
Michigan	108,933	342	1,458	1867
Purdue	50,457		900	1100
Michigan State	74,741			1717
Indiana	41,833			617
Penn State	107,008
Wisconsin	80,109
Iowa	70,214
Illinois	59,545
Minnesota	50,805
Northwestern	24,190
Nebraska	85,071
Rutgers	31,478
Maryland	75,327
Total		342	4658	7901

As for advertising the sweaters for next season, Rhonda is committed to using the same approach used last year. The firm placed ads in the football program sold at each game. These worked very well for reaching those attending the games, but she realized there may be ways to advertise that may open sales to more alumni. She has hired a market research firm to help identify other advertising outlets but has decided to wait at least another year to try something different.

Forecasting demand is a major problem for the company. You have asked Rhonda and Steve to predict what they think sales might be next year. You have also asked the market research firm to apply their forecasting tools. Data on these forecasts are given.

Based on advice from the market research firm, you have decided to use the average demand forecast to determine your orders.

You will allocate your order to the individual schools based on their expected percentage of total demand. You discussed your analysis with Rhonda and Steve and they are OK with your analysis. They would like to see what the order quantities would be if each school was considered individually. You were also able to work with your suppliers and worked towards increasing a positive relationship, they have lowered your order minimum to 500 sweaters. They have also reduced their lead time to 8 weeks.

Set up a spreadsheet with all the data from above and you are ready to do some calculations.

Questions

	1. 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% in taxes, what was their increase in cash last year?
	2. How many sweaters should you order this year? Break down your order by individual school and size. Document your calculations in your spreadsheet. 3. What is the Economic Order Quantity (sweaters/order) and how many orders should be placed for the upcoming season?
	4. What do you think the company could make this year? They are paying you $40,000 and you expect your benefit package addition would be about $1,000 per year. Assume that they order based on the average forecast. (Figure out total costs, revenue and profit) Dont forget about the investors, taxes, reorder cost, etc.
	5. How should the business be developed in the future? Be specific and consider changes related to your supplier, the monogramming subcontractor, target customers, and products.