Buford has generously offered to assist the Fireside Girls troop 46231 in their annual cheese sale. Last year, there was a significant amount of cheese left over due to patrons not picking up (and paying for) their orders. Buford feels that it's hard not to place an order when the Fireside girls come knocking on your door, but then there is less motivation to actually follow through with the purchase absent the sales pressure. Requiring a deposit at the time of order may help with this issue. The town of Danville has about 3000 potentially interested customers. The probability that a customer will place an order will decline as the required deposit increases, however, as the deposit amount increases, there is a higher probability that a customer who placed an order will actually pick up the cheese and pay the balance. The table in the spreadsheet shows that relationship. Note that these probabilities apply independently to all customers, and are not a blanket percentage of all customers. You will need to develop a random variable for customers placing an order and a random variable for customers picking up an order.

It is also not certain how much cheese will actually be available. Buford's friend has run some calculations and believes that the amount of cheese that they can aquire for sale will be normally distributed with a mean of 1500 orders and a standard deviation of 200 orders. If there is insufficient cheese to fill an order when a customer arrives at pickup, then the amount of the deposit must be refunded on the spot. If a customer placed a pre-order but doesn't show up to pickup the cheese, then they don't know you ran out and there is no reason to refund their deposit. Round the number of orders available down to the nearest whole number since no one wants part of an order. Assume that the amount of cheese orderd by the troop should take into account the supply available and the number of orders placed by the customers.

Any unsold cheese can be sold to a local restaurant at a discounted price of $6.00 per order. The restaurant will order as much cheese as you have available at that price.

It will cost the Troop $7.50 per order of cheese.

Build a Monte Carlo simulation with 1000 iterations to determine what deposit percentage (0,25,50,100) will maximize the expected profit for Troop 46231. Indicate the deposit to require in cell B13.

This should be solved with norm.inv and binom.inv, with a 2-way data table in excel.

All detailsumbers in the attached image

***This is all of the information provided by the instructor for students to answer this question.

Hints
Decision: Deposit %, so use 2-way data table
Row input: cell B13
Column input: a blank cell
In cell B13, I accidently left a drop down validation
Erase it, Home = > Clear => All
Random Variables
Supply available		Normal dist
Number customers placing order	Binomial dist, Number trial 3000
Number customers picking up order	Binomial dist, Number trials is number customers placing order
To get the "% that place an order" from cells D4:F7,
do a VLOOKUP where the lookup value is the deposit fraction in cell B13, report the value from the 2nd column of D4:F7, and use an Exact match (False).
To get the "% that pick up an order",
do the exact same VLOOKUP as above except report value from the 3rd column of D4:F7.

Problem 2: Festival of Cheese Cheese Orders Available Deposit Amounts % that place an order % that pick up an order Average 1,500 0% 95% 45% StDev 200 25% 80% 65% 50% 70% 90% Cost per order 7.50 (cost to acquire 1 order of cheese) 100% 50% 99% Customers Interested 3,000 (assume each customer will place at most 1 order) Revenue per Completed Order $15.00 Salvage Revenue per Order $ 6.00 Deposit to Require