supply chain hw
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Supply Chain HW QuestionsTRANSCRIPT
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ISYE 4210 / 6600
Design and Analysis of Supply Chains
Homework Assignment #7
Chaoqun Deng 661249767
1. Discuss how air, rail, water and truck transportation differ on the following dimensions:
cost, speed and volume.
Regarding cost, air is most expensive while rail, truck and water are cheap.
Regarding speed, air is quickest while rail, truck and water are slow.
Regarding volume, air carries low volume while rail, truck and water carry high volume.
2. By offering a buyback contract to the retailer, with a properly chosen buyback price, a
manufacturer can increase the retailers order quantity. Explain why.
Manufacturer agree to buy back any excess stock at retailer at price of b per unit,
Where sOD
Thus, retailer orders more under the buyback contract than in decentralized supply chain without buyback.
3. Explain what is meant by aligning incentives in a supply chain. What are some of the
factors that make aligning incentives difficult?
A supply chain works well if its companies' incentives are aligned-that is, if the risks, costs, and
rewards of doing business are distributed fairly across the network (Narayanan and Raman, 2004,
p96).
There are several factors that make aligning incentives difficult: firstly, when companies cannot
observe other firms' actions, they find it hard to persuade those firms to do their best for the
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supply network; secondly, it's difficult to align interests when one company has information or
knowledge that others in the supply chain don't; thirdly, incentive schemes are often badly
designed (Narayanan and Raman, 2004).
4. Do exercise 2 in Chapter 14 of the Chopra and Meindl textbook. Hint: The point of this
exercise is to evaluate the change in facility, inventory and transportation costs as a result
of using different warehouse locations. To answer this question, you should evaluate the
costs for the following three options: (1) One warehouse is built in either the eastern or
western zone (by symmetry, the costs will be the same in both cases); (2) One warehouse is
built in the central zone; and (3) A warehouse is built in each of the three zones. In
performing your analysis, note that the average weekly demand for each region is given as
50,000. This is the average number of books demanded each week, not the average number
of orders. Since orders contain 4 books (on average), the average number of orders per
week for each zone is just 50,000/4. For each of the three options to be evaluated, you will
need to calculate five different types of costs: transportation cost, cycle inventory costs,
safety inventory costs, fixed costs for the warehouse and operating costs for the warehouse.
Each of these costs should be calculated on a weekly basis and then summed to get the total
cost per week. For the cycle and safety inventory holding costs, you will find it easier to
calculate the annual holding cost and then divide by 52 weeks per year. For the safety
inventory costs, notice that Books-on-Line uses a periodic review policy in which they order
once per week. For the cycle inventory costs, notice that the average order size is equal to
the average demand per week. In the equation provided for the fixed cost of the warehouse,
x is the capacity, which can be calculated as 1.5 * (order size plus safety stock). In the
equation given for the warehouse operating cost, y is the average number of books shipped
per week.
(1) One warehouse is built in either the eastern or western zone (by symmetry, the costs will be
the same in both cases)
--Transportation Cost Per week:
The average number of orders per week for each zone is 50000/4=12500
12500*(2+3+4)= 112500
--For cycle inventory and safety inventory Cost :
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Total Cycle Inventory per week per region
50000/2=25000
Total Safety Inventory per week per region
58154/52=1118.35
Thus, across three regions, the cycle and safety inventory holding cost per week
(25000+1118.35)*3*10*0.25=195887.6
Fixed Cost of the warehouse per week
200,000+1.5* ( 50000+1118.35)*3=200,000+230,032.57=430,032.57430,033
Warehouse Operating Cost
0.01*50000*3=1500
Total Cost per week:
112500+195887.6+430032.57+1500=739,920,17739,920
(2) One warehouse is built in the central zone
Input Data (given data is in yellow)
Average demand per week D 50000
Standard deviation of demand per week s_D 25000
Lead time in weeks L 1
Review time in weeks T 1
For a given desired cycle service level
find associated required reorder point
Desired cycle service level CSL 99.70%
Average demand during lead time + review period D_L+T = (L+T) D 100000
Standard deviation of demand during lead time + review period s_L+T= sqrt(L+T) s_D 35355.3
Safety stock factor z = normsinv(CSL) 1.64
Safety stock ss = z s_L+T 58154
Order up to level OUL = D_L+T + ss 158154
CarolineSticky NoteWeekly cost of this option = Transport cost + facility cost + cost of inventory = $112,500 + $13,027 + $1,500 + $3,606 + $8,090= $138,722
CarolineSticky NoteSafety inventory = normsinv(CSL)**25000 = normsinv(0.997)**25000 = 168,267
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--Transportation Cost Per week:
The average number of orders per week for each zone is 50000/4=12500
12500*(3+2+3)= 100,000
--For cycle inventory and safety inventory Cost :
Total Cycle Inventory per week per region
50000/2=25000
Total Safety Inventory per week per region
58154/52=1118.35
Thus, across three regions, the cycle and safety inventory holding cost per week
(25000+1118.35)*3*10*0.25=195887.6
Fixed Cost of the warehouse per week
200,000+1.5* (50000+1118.35)*3=200,000+230,032.57=430,032.57430,033
Warehouse Operating Cost
0.01*50000*3=1500
Total Cost per week:
100,000+195887.6+430032.57+1500=727,420,17727,420
(3) A warehouse is built in each of the three zones
Transportation Cost Per week:
The average number of orders per week for each zone is 50000/4=12500
12500*(2+2+2)=75,000
For one warehouse:
--For cycle inventory and safety inventory Cost For one warehouse :
Total Cycle Inventory per week per region
50000/2=25000
CarolineSticky NoteWeekly cost of this option = Transport cost + facility cost + cost of inventory = $100,000 + $13,027 + $1,500 + $3,606 + $8,090 = $126,222
CarolineSticky NoteSafety inventory = normsinv(CSL)**25000 = normsinv(0.997)**25000 = 168,267
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Total Safety Inventory per week per region
58154/52=1118.35
Thus, the cycle and safety inventory holding cost per week
(25000+1118.35)**10*0.25=65,295.87 ,
Fixed Cost of the warehouse per week for one warehouse
200,000+1.5* (50000+1118.35)=276,677.52276,678
Warehouse Operating Cost for one warehouse
0.01*50000=500
For three warehouses :
3*(65295.87+276,677.52+500) =1,027,420.17
Total Cost per week:
100,000+1,027,420.17=1,127,420.171,127,420
Thus, transportation can be increased when inventory is aggregated. The facility cost could be increased
when inventory is not aggregated.
According to the comparison, the total cost for option 2 is the lowest. Thus, we choose to build a
warehouse in the central zone.
5. Do exercises 1 and 3 in Chapter 15 of the Chopra and Meindl textbook. For these two
problems, do the order quantity calculations by hand, i.e., write out the equations used to
find, co, cu and O*, using Excel only to look up the appropriate z value for the Normal
distribution. For the remaining parts of the problems (e.g., calculating profits, etc.), you
will need to use Excel.
Exercise 1
E1-Question a:
D=20000, = 5000
= = 24 12 = 12
= = 12 3 = 9
Pr(d ) =
+ 0=
12
12 + 9= 0.57
CarolineSticky NoteAnswer: Total cost for building warehouse in each location is best.
CarolineSticky NoteSafety inventory = normsinv(CSL)**25000 = normsinv(.997)**25000 = 97,149
CarolineSticky NoteWeekly cost of this option = 3*(Transport cost + facility cost + cost of inventory at each warehouse)= 3*($25,000 + $8,091 + $500 + $1,202 + $6,599)= $124,174
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z = NormsInv(0.57) = 0.18
= + = 20000 + 0.18 5000 = 20900
Thus, Barnes & Nobel should order 20900 books. The expected profit for Barnes & Nobel is $198,784
It expects to sell 2477 books at a discount.
E1-Question b:
The profit for pulisher is $229,901
E1- Question c:
D=20000, = 5000
Production cost per unit v $1
Wholesale price per unit c $12
Retail price per unit p $24
Salvage value per unit s $3
Cost of understocking Cu = p-c $12
Cost of overstocking Co = c-s $9
Optimal cycle service level CSL = Cu/(Cu+Co) 0.57
Optimal z value z = NormsInv(CSL) 0.18
Optimal order quantity O_D = D + z s_D 20900
Expected overstock E[OS] 2477
Expected understock E[US] 1577
Expected profit for retailer(p-c) x D - Co E[OS]
- Cu E[US]$198,784
Expected profit for supplier (c-v) x O_D $229,901
Expected profit for system (retailer
+ supplier)$428,685
Decentralized Solution - Retailer Chooses Order Quantity
CarolineSticky NoteGood.
CarolineSticky NoteGood.
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= = 24 12 = 12
= = 12 5 = 7
Pr(d ) =
+ 0=
12
12 + 7= 0.63
z = NormsInv(0.63) = 0.34
= + = 20000 + 0.34 5000 = 21700
Thus, under this plan, Barnes & Noble will order 21680 books.
The expected profit for Barnes & Noble will be $204,181
Production cost per unit v $1
Wholesale price per unit c $12
Retail price per unit p $24
Salvage value per unit s $3
Buyback price b $5
Cost of understocking Cu = p-c $12
Cost of overstocking Co = c-b $7
Optimal cycle service level CSL = Cu/(Cu+Co) 0.63
Optimal z value z = NormsInv(CSL) 0.34
Optimal order quantity O_B = D + z s_D 21680
Expected overstock E[OS] 2946
Expected understock E[US] 1266
Expected profit for retailer(p-c) x D - Co E[OS]
- Cu E[US]$204,181
Expected profit for supplier(c-v) x O_B
- (b-s) x E[OS]$232,589
Expected profit for system (retailer
+ supplier)$436,770
Decentralized Solution - Retailer Chooses Order Quantity - With Buyback
CarolineSticky NoteCheck values to solution. Your Co should be $4, causing your other values to be wrong.
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2946 books are expected to be unsold.
The expected profit for publisher is $232,589
No Refund Refund Plan
Retailer Profits $198,784 $204,181
Supplier Profits $229,901 $232,589
Total SC Pofits $428,685 $436,770
Compare this two options, the buyback contract will increase both the profits of retaliers and
suppliers. Thus, the pulisher should choose this refund plan.
Exercise 3
D=5000, = 2000
= (1 ) = (1 0.35) 15 3 = 6.75
= = 3 1 = 2
Pr(d ) =
+ 0=
6.75
6.75 + 2= 0.77
z = NormsInv(0.77) = 0.74
= + = 5000 + 0.74 2000 = 6480
CarolineSticky NoteCorrect.
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a.Thus, Topgun order 6487 CDs
b. 1752 CDs Topguns should expect to sell at a discount.
c. The expected profits for Topgun are $28,455
d. The expected profits for Studio are $ 31,344
e. The results are as follows:
Production cost per unit v $2
Wholesale price per unit c $3
Retail price per unit p $15
Salvage value per unit s $1
Revenue sharing percentage f 0.35
Cost of understocking Cu = (1-f)p-c $6.75
Cost of overstocking Co = c-s $2
Optimal cycle service level CSL = Cu/(Cu+Co) 0.77
Optimal z value z = NormsInv(CSL) 0.74
Optimal order quantity O_B = D + z s_D 6487
Expected overstock E[OS] 1752
Expected understock E[US] 265
expected sales E[Sales] 4735
Expected profit for retailer((1-f)*p-c) x D - Co
E[OS] - Cu E[US]$28,455
Expected profit for supplier(c-v) x O_B
+f*p*E[sales]$31,344
Expected profit for system (retailer
+ supplier)$59,799
Decentralized Solution - Retailer Chooses Order Quantity -Revenue Sharing
CarolineSticky NoteGood.
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Thus, Topgun order 7230 CDs
2363 CDs Topguns should expect to sell at a discount.
The expected profits for Topgun are $29,514
The expected profits for Studio are $ 31,391
Production cost per unit v $2
Wholesale price per unit c $2
Retail price per unit p $15
Salvage value per unit s $1
Revenue sharing percentage f 0.43
Cost of understocking Cu = (1-f)p-c $6.55
Cost of overstocking Co = c-s $1
Optimal cycle service level CSL = Cu/(Cu+Co) 0.87
Optimal z value z = NormsInv(CSL) 1.11
Optimal order quantity O_B = D + z s_D 7230
Expected overstock E[OS] 2363
Expected understock E[US] 133
expected sales E[Sales] 4867
Expected profit for retailer((1-f)*p-c) x D - Co
E[OS] - Cu E[US]$29,514
Expected profit for supplier(c-v) x O_B
+f*p*E[sales]$31,391
Expected profit for system (retailer
+ supplier)$60,905
Decentralized Solution - Retailer Chooses Order Quantity -Revenue Sharing
CarolineSticky NoteGood.
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Input Data
Product 1 2 3 4 5
Mean demand for season, D 20000 14000 3000 3000 3000
Standard deviation of demand for season, s 2000 2000 2000 2000 2000
Variance of demand for season, s 2 4000000 4000000 4000000 4000000 4000000
Sales price per unit, p $45 $45 $45 $45 $45
Salvage value per unit, s $5 $5 $5 $5 $5
Production cost per unit (without postponement), c $11 $11 $11 $11 $11
Production cost per unit (with postponement), c $12 $12 $12 $12 $12
Without Postponement (player 1 and player 2)
Product 1 2
Co = cost per unit overstock = c - s 6 6
Cu = cost per unit understock = p - c 34 34
CSL (no postponement) = Cu / (Cu + Co) 85% 85%
z = normsinv(CSL), no postponement 1.04 1.04
O* = D + z s_D for each product 22073 16073
Total inventory for all 2 products 38146
Expected overstock for each product 2228 2228
Expected understock for each product 155 155
Expected profit for product 1 and 2 $661,347 $457,347
Total profits $1,118,695
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For Player 3, 4 and 5, I choose to use postponement
For Player 1 and 2, I choose to use the traditional approach
The reason is that player 3, 4 and 5 has more uncertain demand than player 1 and 2. We use postponement
only for products with most uncertain demand.
References:
Narayanan, V. G., & Raman, A. (2004). Aligning incentives in supply chains. Harvard business review,
82(11), 94-102.
With Postponement(player 3,4,and 5)
Mean aggregate demand = D_3 + D_4 + D_5 9000
Variance of aggregate demand = s^2_3 + s^2_4 + s^2_5 12000000
Standard deviation of aggregate demand = sqrt(variance) 3464
Co = cost per unit overstock = c - s $7
Cu = cost per unit understock = p - c $33
CSL (with postponement) = Cu / (Cu + Co) 83%
z = normsinv(CSL), with postponement 0.93
O* = mean + z x std dev, for aggregate demand 12238
Expected overstock 3564
Expected understock 326
Total expected profit for player 3 ,4 and 5 $261,281.61
Total expected profit for all players $1,379,976.21
CarolineSticky NoteGood.
CarolineSticky NoteCorrect.
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