OIDD615 sample final exam - solutions
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OIDD 615 Sample Final Exam. Page 1 of 16 University of Pennsylvania
The Wharton School
Department of Operations and Information Management
OIDD 615
SAMPLE EXAM -
SOLUTIONS
Professor Cachon
Instructions:
•
You are to complete this exam on your own.
•
You may use any of the OIDD 615 materials from this term to work on this exam.
•
There are 27 questions and 30 points available on this exam. No partial credit is given
for 1-point questions. There is no penalty for guessing.
•
Place your response in the box provided.
•
You may use a calculator but no electronic device that can communicate with another
device (e.g., iPad, Kindle, mobile phone, laptop, etc.)
•
You have two hours to complete the exam.
First Name:
Last Name:
Penn Id:
My signature below certifies that I have complied with the University of Pennsylvania's Code of
Academic Integrity in completing this final examination.
___________________________
Signature
Date
OIDD 615 Sample Final Exam. Page 2 of 16 (Q1-Q5) Rifugio Bolzano in the Italian Dolomites is located at the top of one of the large peaks
in the Catinaccio Park (see photo below). Most hikers take at least 5 hours to reach the rifugio,
but once there, they are treated to excellent food and the option of a warm bed.
The rifugio uses a large basket attached to a cable from a local village to resupply its inventory.
It is Saturday morning and Marco Fruscalzo, the director of Rifugio Bolzano, is about to place
the one order they can make to resupply their stocks to cover demand for this weekend (i.e.,
the basket will make one trip up the mountain from the village).
Q1. Marco estimates that this weekend’s demand for bread has a mean of 40kgs and a
standard deviation of 15kgs. Bread left over at the end of the weekend is too stale to serve,
and so has no value. They currently do not have any bread in stock. Marco wants to be 99.5%
sure that they will be able to cover all of their demand. How many kgs of bread should he
order?
From the standard normal distribution, F(2.58) = 0.9951 so the
desired z-score is 2.58.
40kg + 2.58 * 15kg = 78.7kg
OIDD 615 Sample Final Exam. Page 3 of 16 Q2. Suppose Marco orders 70 kgs of bread. Continue to assume demand has a mean of 40kgs
and a standard deviation of 15kgs and they currently have no bread. What is the expected
amount of left over bread at the end of the weekend (in kgs)?
Q3. In their gift shop the Rifugio sells small bottles of Grappa. Demand for this weekend is
expected to be Poisson distributed with a mean of 4.5. Marco wants to be able to satisfy all
demand with a 0.92 probability. They currently do not have any bottles in inventory. How many
bottles should they order?
Q4. Suppose Marco orders 4 bottles of Grappa. Continue to assume demand is Poisson with
mean 4.5. How many bottles can he expect to sell during the weekend?
Check the Poisson Inventory function table with mean = 4.5
I(4) = 0.58808
Expected sales = Q – Expected leftover inventory = 4 – 0.58808 = 3.4
Check the Poisson distribution table with mean = 4.5
F(7) = 0.91341 and F(8) = 0.95974
8 bottles are needed
z-score of 70kg is (70-40)/15 = 2
I(z) = I(2) = 2.0085
Expected leftover inventory = 15 x 2.0085 = 30.1275
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OIDD 615 Sample Final Exam. Page 4 of 16 Q5. Marco also needs to order some Arborio rice to be sure that they can make their famous
mushroom risotto. They currently don’t have any rice but they want to include the risotto on
the menu for this weekend. Suppose he orders 20 kgs of rice. Demand is normally distributed
with a mean of 12kgs and a standard deviation of 4 kgs. What is the probability he will stock out
of rice during this weekend?
(Q6-Q7) Holiday Pop Inc specializes in “pop-up” stores – each 4
th
quarter they open stores in
several thousand locations throughout the country and then close them all at the end of the
holiday season. They specialize in selling holiday gifts and related items, mostly purchased from
overseas suppliers. One of their stores this season will be located in the Granite Run Mall. One
of their items is a musical, spinning, miniature Christmas tree. Each one sells for $20 and they
purchase them for $8 per unit. If there is inventory left over at the end of the season, they
discount each unit to $4. Expected demand at this store has a mean of 200 and a standard
deviation of 50.
Q6. If they want to maximize their expected profit, how many units should they order for this
store?
z-score fo 20kg is (20-12)/4 = 2
From the standard normal distribution table:
1 – F(2) = 1 – 0.9772 = 0.0228
Probability of stockout is 0.0228
Overage cost is $8 - $4 = $4
Underage cost is $20 - $8 = $12
The newsvendor critical ratio is 12/(12 + 4) = 0.75
From the standard normal distribution table, z-score is 0.68
Q* = 200 + 0.68 * 50 = 234
OIDD 615 Sample Final Exam. Page 5 of 16 Q7. Holiday Pop finds that sales in the first two weeks of the season are highly correlated with
final demand (i.e., once they observe demand in the first two weeks, there will be little
remaining uncertainty in their forecast for total sales for the season). Although they don’t like
to do this, they can place a second order after observing early season sales, but they need to
use air shipments with that order. As a result, each unit placed with the 2
nd
order costs them
$17 (i.e., air adds $9 to the unit cost). Continue to assume they sell each unit for $20 and
discount to $4. Given the possibility to place a 2
nd
order, what quantity should they select for
their 1
st
order?
Q8. A company collects the following data regarding last season’s performance of 5 items
(labeled A to E) in one of their product categories:
This season they have a product with a forecast of 500 units. If they use the A/F method to
forecast, what mean should they use for the product’s demand model?
Product
Forecast
Q*
Sales
Demand**
A
100
200
150
150
B
200
300
150
150
C
400
500
500
800
D
600
700
300
300
E
800
900
900
1200
* Quantity ordered
** An estimate of demand
The possibility of second order changes the underage cost. If
they must use air, then they earn $3, but they earn $12 if they
had ordered the unit in advance. So the underage cost is $12 - $3
= $9.
The newsvendor critical ratio is 9/(9+4) = 0.6923
From the standard normal distribution table, z-score is 0.51
Q* = 200 + 0.51 * 50 = 225.5
The A/F ratio of each product are:
A: 1.5
B: 0.75
C: 2
D: 0.5
E: 1.5
The average A/F ratio is (1.5 + 0.75 + 2 + 0.5 + 1.5)/5 = 1.25
Expected actual demand is 1.25 * 500 = 625
OIDD 615 Sample Final Exam. Page 6 of 16 Q9. The table below provides data for 6 products, named A to F. Assume a newsvendor model
is appropriate for deciding an order quantity. Each product may experience either the cost of
left over inventory or the cost of running out of inventory. For which product is the total of
those two costs the highest percentage of its maximum profit?
(Q10-Q11) The Home Depot in Conshohocken sells a wide array of tools. The annual holding
cost for this store is 60% (e.g., an item purchased for $10 would cost $6 to hold in inventory for
one year). Assume they operate 52 weeks per year.
Q10. They sell a four-piece screwdriver set in that store. On average they have 8.5 units and this
item has annual inventory turns equal to 10. They purchase the item for $11.5 and sell it for
$18. On average what is the holding cost they incur per item (i.e., per four-piece screwdriver
set)?
Product
Critical Ratio
Mean
Standard deviation
A
0.4
200
200
B
0.4
400
300
C
0.5
600
400
D
0.5
800
500
E
0.6
1000
600
F
0.6
1200
700
Mismatch costs are high when coeff of variation is high and the
critical ratio is low. The coeff of variation are:
A: 1
B: 0.75
C: 0.67
D: 0.625
E: 0.6
F: 0.58
Product A has the highest coefficient of variation and the lowest
critical ratio.
An item stays in the store for 52/10 = 5.2 weeks
The cost of the item is $11.5
The holding cost is:
$11.5 * 0.60/year * 5.2/52 year = $0.69
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OIDD 615 Sample Final Exam. Page 7 of 16 Q11. On average they have 2.5 units of a drill press. The drill press sells for $200 and it is
purchased for $125. Average weekly demand is 0.25 units. On average what is the holding cost
they incur per item (i.e., per drill press)?
(Q12-16) Enrico Scalia has been put in charge of Barilla’s JITD program to manage the inventory
of their pasta in the Cortese Distribution Center. They use order upto policies to manage
inventory. They place orders daily and each order is received after 4 days.
Q12. The 1kg box of fettuccine sells 1.25 cases per day on average.
They currently have 6 cases
on order and 2 cases on-hand and they operate with a base stock level of 11. They are about to
place an order for today. What was demand yesterday (in cases)?
On average, the drill press stays in the store for 2.5/0.25 = 10
weeks.
The cost of the item is $125.
The holding cost is:
$125 * 0.60/year * 10/52 year = $14.42
The inventory position is 6 + 2 = 8 cases.
Since the base-stock level is 11, the previous period’s demand
was 11 – 8 = 3 cases.
OIDD 615 Sample Final Exam. Page 8 of 16 Q13. The 500gr box of penne pasta is one of their top sellers – on average they sell 1.25 pallets
per day. (A pallet contains 100 cases, each case has 12 of the 500 gr boxes.) What order upto
level (in pallets) should they choose to ensure a 0.9915 in-stock probability?
Q14. They sell 0.5 cases of tagliatelle each day. If they operate with a base stock level of 6
cases, what would be their average on-hand inventory? Assume demand can be modeled with a
Poisson distribution.
Q15. They sell 250 cases of spaghetti each day, with a standard deviation of 100 cases. If they
want their in-stock probability to be at least 0.995, what order up-to level should they choose
(in cases)?
The average demand over l+1 = 4 + 1 = 5 days is 5 * 1.25 = 6.25
Assume Poisson distribution for demand with mean 6.25.
F(12) = 0.99117 and F(13) = 0.99637
The order upto level should be 13 pallets.
The average demand over l + 1 = 5 days is 5 * 0.5 = 2.5 cases.
From the Poisson Inventory Function Table with a mean of 2.5,
I(6) = 3.5199
From the standard normal distribution table, z = 2.58 to achieve
in-stock probability of 0.995.
The mean demand over l + 1 = 5 days is 5 * 250 = 1250 cases and
the standard deviation is sqrt(5) * 100 = 223.6.
The order upto level should be:
S = mu + z * sigma = 1250 + 2.58 * 223.6 = 1826.89
OIDD 615 Sample Final Exam. Page 9 of 16 Q16. Continue to assume that they sell 250 cases of spaghetti each day with a standard
deviation of 100 cases and they want their in-stock probability to be 0.995. How many cases do
they have on-order on average?
Q17. A Caterpillar dealer keeps spare parts in inventory. One of their hydraulic pistons sells 1
unit every 10.5 weeks. Assuming the Poisson distribution is appropriate to model demand,
what is the coefficient of variation of weekly demand?
Q18. An Ace Hardware store sells on average $2500 worth of product each day. The trucks that
replenish the store carry on average $15,500 worth of product. What is the average inter-arrival
time of truck deliveries (i.e., the average number of days between truck deliveries)?
The mean demand over 4 days is 4 * 250 = 1000 cases, which is
the expected on-order inventory.
The average weekly demand is 1/10.5
The coefficient of variation for Poisson distribution with mean
demand 1/10.5 is sqrt(10.5) = 3.24
Each truck carries $15,500/$2,500 = 6.2 days worth of product,
which is also the average inter-arrival time of truck deliveries (by
Little’s Law).
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OIDD 615 Sample Final Exam. Page 10 of 16 Q19. Suppose a retailer operates 40 stores in California and currently receive deliveries directly
from a supplier (left panel in figure below). They are considering to add a distribution center
(DC) to their supply chain so that the supplier will deliver to the DC and then product will be
sent from the DC to the stores (right panel in figure below). Adding the DC will not change the
lead time from the supplier. Under which of the following eight conditions (A, B,…,H) would
adding a DC be most beneficial to the supply chain?
Supplier
lead +me
DC
Supplier
Stores
.
.
.
Supplier
.
.
.
Supplier
lead +me
Stores
Current
Proposed change
Supply chain
Supplier lead time
Store holding costs
Store in4stock requirement
A
Short (1 week)
Low (20%)
Low (0.950)
B
Short (1 week)
High (60%)
Low (0.950)
C
Short (1 week)
Low (20%)
High (0.999)
D
Short (1 week)
High (60%)
High (0.999)
E
Long (10 weeks)
Low (20%)
Low (0.950)
F
Long (10 weeks)
High (60%)
Low (0.950)
G
Long (10 weeks)
Low (20%)
High (0.999)
H
Long (10 weeks)
High (60%)
High (0.999)
Pooling is most beneficial when:
In-stock requirement is HIGH
Store holding costs are HIGH
Supplier lead time is LONG
Answer: H
OIDD 615 Sample Final Exam. Page 11 of 16 Q20. Which of the following five graphs (A,…,E) best describes the relationship between the
amount of cross training provided to a team of consultants (x-axis) and the value/benefit of that
cross training (y-axis)?
Q21. JetFree Air sells seats on their airplanes for less than all of their competitors. However,
they do not allow refunds or ticket changes – if a customer purchases a ticket but doesn’t use
the ticket for the designated flight, then the customer loses the entire purchase price. Despite
not allowing refunds or ticket changes (even for a fee), JetFree overbooks their flights – they
sell more tickets than they have seats on the aircraft. From the point of view of maximizing
revenue in the short run (i.e., ignore long run customer retention issues), is this a rational
strategy?
a)
No – Given that they don’t have refunds, there is no need to risk having more
passengers arrive for a flight than there are seats on the plane.
b)
No – It is not optimal to overbook when ticket prices are low.
c)
No – Overbooking increases the chances of departure delays.
d)
Yes – Given that some customers do not arrive for the flight, this allows them to
effectively sell some seats twice.
e)
Yes – Whenever there are different customer classes, such as “business travelers”
willing to book “last minute” at a higher price, and “leisure travelers” that book well in
advance, it is advantageous to reserve some seats for the business travelers.
Cross training
Benefit
Cross training
Benefit
Cross training
Benefit
Cross training
Benefit
Cross training
Benefit
A
B
C
D
E
A little cross-training can provide a huge improvement in
efficiency.
Answer: D
Answer: D
OIDD 615 Sample Final Exam. Page 12 of 16 Q22. Zara is the envy of the fashion industry because it is able to maintain 60% gross margins.
(The gross margin percentage is the difference between Revenue and Cost of Goods Sold, as a
percentage of Revenue.) This is remarkable because they produce in locations with relatively
higher labor costs and when they introduce a new item, they usually do not set a particularly
high price. So how are they able to achieve their high gross margins? Select the best answer.
a)
By having a short cycle time between design and store delivery, they are able to
produce current styles, thereby avoiding deep markdowns.
b)
They don’t advertise in magazines or partner with famous designers, thereby keeping
their marketing budget low.
c)
They own and operate stylish stores in the high traffic areas of a city.
d)
They own and operate the trucks that deliver products from their distribution centers to
their stores, thereby lowering their shipping costs relative to using a 3
rd
party carrier.
e)
To clear unneeded inventory they adopt one of several strategies, such as (i) physically
dispose/destroy the items, (ii) sell the items in a limited number of outlet stores, or (iii)
sell the items in countries where they don’t currently have stores.
Q23 (1pt) Is it more expensive to hold component inventory or finished goods inventory (on a
per $ basis over the same interval of time)? Explain your choice.
Answer: A
Finished goods is more expensive to hold because finished goods have higher
value (in addition to the components, there is some assembly/processing value
added) and more importantly, demand for finished goods is more uncertain
and not as long lasting (i.e., finished goods suffer from obsolescence more than
components)
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OIDD 615 Sample Final Exam. Page 13 of 16 Q24 (1pt) A firm uses an order up-to model to manage inventory. Suppose they increase their
target in-stock probability and therefore raise the order upto level for the product. Nothing else
changes. For example, they continue to order with the same frequency, the lead time remains
the same and the demand distribution remains the same. Would the coefficient of variation of
this firm’s orders to their supplier increase, decrease or stay the same (once they have adjusted
to the new order upto level)? Explain your choice.
Q25 (2pt) Operations strategy involves decisions on process timing, location, and control. The
higher the level of control, the more standardized a firm can make its processes. Give an
example of a company that adopted a more standardized process relative to the rest of the
industry and identify the two key benefits of that decision for the company.
A 1pt answer only gives one benefit or no example. A 2pt answer gives an
example and two benefits. The classic example is McDonalds. By standardizing
the cooking process they could increase conformance quality (i.e., the
consistency of the product across locations) and they could higher less
expensive/lower skilled labor.
Stay the same. With an order upto policy the amount ordered each period
equals demand in the previous period, no matter what the order upto level is.
As demand doesn’t change, it follows that the variability of the ordering
process doesn’t change either.
OIDD 615 Sample Final Exam. Page 14 of 16 Q26 (2pt) Suppose a firm would try to compete with Amazon by charging customers a lower
price (including shipping). To make this a viable business, explain what else the firm would have
to do – in terms of operations as well as what it offers customers – to make this a potentially
viable strategy (i.e., a strategy that may lead to a successful business in the long run).
Given that Amazon is barely profitable, to lower price and still be viable (i.e.,
make a profit), the firm would have to sacrifice some costly feature. For
example, they could use cheaper/slower shipping, or they could stock inventory
is fewer locations (which would reduce inventory costs but increase shipping
times), or they could offer less variety (which would reduce inventory costs). A
1 pt answer identifies that there is a tradeoff but doesn’t provide details.
OIDD 615 Sample Final Exam. Page 15 of 16 Do You Know What's Going in Your Amazon Shopping Cart?
… Items Are Commingled at Warehouses, Opening the Door to Knockoffs
WSJ - May 11, 2014
Excerpts from the above article are in italics below.
As more third-party sellers have signed up to offer products through Amazon and use its order-
fulfillment services, the Seattle-based giant has allowed many to pool their inventory with
supposedly identical items supplied by other sellers—in essence commingling products from
third-party merchants with those supplied directly to Amazon by the brands themselves
.
In other words, a product ordered from a third-party seller may not have originated from that
particular seller. If the bar code matches, any one that is on the shelf will do.
Items entering Amazon's warehouses, whether from suppliers or third-party seller who have
opted into the program, are sorted by bar code. When shoppers buy those products from
Amazon or a third-party seller that uses the company's fulfillment service, Amazon will ship
them from the combined inventory, typically taking products from the warehouse nearest the
customer.
For third-party sellers, it saves them the trouble of having to label individual items sent to the
Amazon warehouse. The bar code takes care of that. But the practice has in some cases led to
mix-ups between counterfeit and authentic products, even when they are sent by Amazon itself.
Q27 (2pt) Say you are Matthew Frank, whose company makes Tovolo-brand ice-cube molds and
trays (see above). You sell your trays to multiple 3
rd
party sellers and some of them sell your ice-
cube molds using Amazon’s order-fulfillment services. With that service, the 3
rd
party seller
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OIDD 615 Sample Final Exam. Page 16 of 16 purchases the tray from you (Tovolo) and sends the product to one or more of Amazon’s
warehouses. When the 3
rd
party seller makes a sale to a customer, Amazon ships the product to
the customer (because Amazon is the one that is physically holding the product).
As the article mentions, Amazon may commingle (i.e., pool) identical items (as determined by
their bar codes) stored in the same warehouse from multiple 3
rd
party sellers. The article
discusses a limitation of this program – it might result in a customer receiving a counterfeit item
when they thought they were purchasing the original item. One benefit of the program is that
3
rd
party sellers don’t have to go through “
… the trouble of having to label individual items sent
to the Amazon warehouse.”
Besides the labeling advantage (which can’t be too big), why would Amazon do this? In other
words, what are the advantages of such an idea? (Note, don’t explain why Amazon offers order-
fulfillment services to 3
rd
party sellers. Instead, given that they offer order-fulfillment services,
explain the rationale for commingling identical inventory.)
By pooling inventory Amazon can avoid delaying shipping an item from one
seller that is out of inventory when the same item is available from another
seller. It also means that Amazon can choose to ship from the nearest DC (to
lower shipping costs) even though the seller’s items may be stocked in another
DC.
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