supply chain management
DESCRIPTION
Supply Chain ManagementTRANSCRIPT
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Operations Management-104
Supply Chain Management
Debabrata Ghosh
*Images available in the public domain
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Operations Management-104
C1
DISTRIBUTION
CENTERS
C2
C3
C4
C5
C6
VENDORS INBOUND
TRANSPORTATIONPLANTS
CUSTOMERSINTERFACILITY
TRANSPORTATION
OUTBOUND
TRANSPORTATION
DISTRBUTION
CENTRES
What is a supply chain?
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Flow of Material
Flow of Cash
Flow of Information
Flow of Information
Source: Supply Chain Management: Text and Cases Janat Shah, Pearson Education India, 2009
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A detergent supply chain stages
Unilever or other
manufacturer
Spencers or Third Part DC
Spencers store Customer
Tenco PackagingPaper
ManufacturerTimber
Company
Plastic ProducerChemical
Manufacturer
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QC & Shipping[Hong Kong]
Product Design[Hong Kong]
Zippers+[Japan+]
Stitching[Indonesia]
Weaving[Taiwan]
Yarn Spinning[Korea]
Globally Dispersed Manufacturing
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What is supply chain management?
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A set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses and stores so that merchandize is produced and distributed at the right quantities, to the right locations and at the right time, in order to minimize system wide costs while satisfying service level requirements.
Global Optimization of a complex network leading to challenges in system wide costs reduction
Maintaining service levels at every stage of the supply chain
Coordination between supply chain players to achieve optimal system performance
Uncertainties of demand and supply side resulting in getting it right extremely difficult
Challenges
Source: Designing and Managing the supply chain, Simchi-Levi et.al., Mc-Graw Hill, 3rd Ed., 2008
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Sources of SCM uncertainties
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Supply side Uncertainty:Manufacturing yieldsTransportation TimesComponent availabilityNatural and Man-made disasters
Demand side Uncertainty:Forecasts are only reliable to an extentChanging consumer behaviour
In September 1999, a massive earthquake devastated Taiwan. Companies like Hewlett-Packard and Dell which sourced a variety of components were severely affected.
2012 and subsequent devastating fires in the apparel manufacturing factories of global retail players not only indicated a severe gap in safety standards of the workers in those factories but also brought global brands under pressure for quality audits and maintenance of safety standards of supplier facilities.
2013 report of fall in demand (post Diwali) for automobiles led to an inventory pile up of over Rs. 20,000 crore forcing several automakers like Maruti and GM in India to either plan a production cut or periodic plant shutdowns.
Stiff competition General slowdown in the PC market
Intel reported a 38 percent
decline in quarterly profit in 2006
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Why Supply Chain Management ?
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By 1990s companies discovered that new manufacturing technologies and strategies that allowed them to reduce costs and better compete in the markets such as Just-in-Time , Kanban, Lean Manufacturing Techniques, Quality Management etc. had outlasted the needs of the present times.
Vast amount of resources and investments were made on these methods and further reduction of costs and improvement in quality were only possible through a different outlook.
While MRP, ERP and the advancement of computing techniques had helped production facilities, the need was to look beyond the boundaries of the firm.
The need to understand and improve operations beyond the boundaries of the firm while dynamically focussing on various components of the chain, has led to growth of supply chain management studies and practice.
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Progression of Logistics Costs
Logistics costs share of the U.S. economy
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Composition of Logistics Costs
Total U.S. logistics costs between 1984 and 2005
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Complexity
U.S. companies spent more than $1 trillion in supply-related activities (10-15% of Gross Domestic Product)
Transportation 58%
Inventory 38%
Management 4%
The grocery industry could save $30 billion by using effective logistics strategies
A typical box of cereal spends 104 days getting from factory to supermarket.
A typical new car spends 15 days traveling from the factory to the dealership.
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Process views of a supply chain
Distributor
Manufacturer
Supplier
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Retailer
Customer
Procurement Cycle
Manufacturing Cycle
Replenishment Cycle
Customer Order Cycle
Cyclic view of a supply chainSource: Supply Chain Management, Sunil Chopra, Pearson Education India, 3rd Ed., 2008
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Process views of a supply chain
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Push -Pull view of a supply chain
Source Make components Assembly Delivery
Source Make components Assembly Delivery
Source Make components Assembly Delivery
MTS
MTO
CTO
Customer Order
Customer Order
Customer Order
Source: Supply Chain Management: Text and Cases Janat Shah, Pearson Education India, 2009
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Dells Supply Chain
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Dell builds, tests and packages the productsUsual Time Frame: 8 hours
Dell sends an orders to a manufacturing plant
Dell processes orders and performs credit checking and configuration evaluation
Usual time frame: 2 to 3 days
Customer places an order with Dell
Dell ships and delivers the products
Usual time frame: no later than 5 days after receipt of orders
Launched by Michael Dell in 1983
Developed an unprecedented model of
direct distribution in the PC Industry
Collaboration with suppliers for planning
and execution, share information about
component forecasts, seasonality, market
movements etc.
Evaluated suppliers on inventory-
velocity, e-business collaboration, low-cost
manufacturing and technology leadership.
Inventory Management: Removed
warehouses, carried only a few days of
inventory throughout supply chain
enabled through real time monitoring of
inventory and orders across suppliers.
Source: Designing and Managing the supply chain, Simchi-Levi et.al., Mc-Graw Hill, 3rd Ed., 2008
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DELL Inc. - TIMELINE
1983-- Michael Dell starts business of pre-formatting IBM PC HDs on weekends
1985-- $6 million sales, upgrading IBM compatibles for local businesses
1986-- $70 million sales; focus on assembling own line of PCs
1990-- $500 million sales; with an extensive line of products
1996-- Dell goes online; $1 million per day in online sales; $5.3B in annual sales
1997-- Dell online sales at $3 million per day; 50% growth rate for 3rd
consecutive year, $7.8B in total annual sales.
2005-- $49.2B in sales
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Measuring Supply Chain Performance
The following two performance measures can be calculated using financial data:
Inventory Turns = (Cost of Goods sold/Average aggregate value of inventory) Average aggregate value of inventory includes total value of all items at cost including raw materials, work-in-process inventory and finished goods = (average inventory for item i * unit value of item i) Inventory Days of Supply = (Average aggregate value of inventory/ Cost of Goods sold ) * 365 days
1996 1997 1998 1999 2000 2001 2002 2003
Revenue (billion $)
5.3 7.8 12.3 18.2 25.3 31.9 31.2 35.4
Cost of goods sold(billion $)
4.2 6.1 9.6 14.1 20.1 25.5 25.7 29.1
Total Inventory (million $)
356.7 217.3 184.1 231.8 330.4 349.3 307 306
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Dell Computers financial data 1996-2003:
Source: Operations Management, James R Evans & David A collier, Thomson, 2007
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Supply Chain Evolution
First Revolution.: Ford Motor Co. 1910-1920.
Single Product.
Vertical Integration
Second Revolution: Toyota Motor Co. 1960-1970.
Wide Variety
Long term relationship with suppliers.
Third Revolution. 1990s- 2000s.
Dell Computers
Customization.
Medium term relationship with suppliers
Suppliers have to maintain technology and cost leadership.
Bharti-Airtel
Strategic Outsourcing : Network Management with Nokia & Ericsson & IT
Management with IBM
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Source: Supply Chain Management: Text and Cases Janat Shah, Pearson Education India, 2009
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Inventory Turns 2009
1. Apple 1. Apple 74.1 1. Apple
2. McDonalds 2. Amazon 10.0 2. Dell
3. Amazon 3. McDonald's 142.4 3. P&G
4. Unilever 4. Dell 35.6 4.IBM
5. Intel 5. P&G 5.5 5. CISCO
6.P&G 6. Coca-Cola 5.8 6.Nokia
7. CISCO 7.Intel 5.0 7.Wal-Mart
8. Samsung 8. Cisco Systems 11.0 8.Samsung
9. Coca-Cola 9. Wal-Mart Stores 8.3 9. PepsiCo
10. Colgate-Palmolive 10. Unilever 6.0 10. Toyota
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The Gartner Supply Chain Top 10
Source: Supply Chain Management Review, Sep-Oct 2012
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Semiconductor
1995 1996 1997 1998 1999 2000 2001
-40%
-20%
0%
20%
40%
60%
80%
PC
Semiconductor
Equipment
Changes in
demand
Semiconductor
1995 1996 1997 1998 1999 2000 2001
-40%
-20%
0%
20%
40%
60%
80%
PC
Semiconductor
Equipment
Changes in
demand
Annual percentage changes in demand (in $s) at three levels of the semiconductor supply chain: personal computers, semiconductors and semiconductor manufacturing equipment.
Bullwhip Effect in the US PC supply chain
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Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012
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Causes of the Bullwhip Effect
Supplier Practices
Incentives offered to buy-in-bulk Price Promotions Sales force incentive
Supplier behaviour uncertainty Shortage Handling Price Fluctuations
Supplier Inefficiency
Buyer PracticesForecasting of future trends in demand
Updating of future demand based on recent demandPromotion plans
Order Batching considering economies of scale of production
Large production runs Buying in large batches
OrderOrder
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Source: Supply Chain Management: Text and Cases Janat Shah, Pearson Education India, 2009
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Impact of Bullwhip Effect
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Increase in manufacturing cost and significant rise in inventories.
Increase in replenishment lead times.
Increase in stock outs.
Increase in Labour costs.
Ways to combat the Bullwhip Effect
Information sharing:
Collaborative Planning, Forecasting and Replenishment (CPFR)
Vendor Managed Inventory (VMI): delegation of stocking decisions
Continuous Replenishment
Efficient Promotions
Alignment of Incentives Contracts benefitting supply chain partners
Source: Supply Chain Management, Sunil Chopra, Pearson Education India, 3rd Ed., 2008
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Re-visiting Newsvendor Problem
For a product under the newsboy settings:c: costp: selling prices: salvage valueCu = Underage costCo = Overage cost
CoCu
CuQF
*)(
Expected overstock from an order for Normally distributed demand with mean and s.d. = (Q*-)Fs[(Q*- )/]+ fs [(Q*- )/]
= (Q*-)NORMDIST[(Q*- )/,0,1,1]+ NORMDIST[(Q*- )/],0,1,0]
Expected understock from an order for Normally distributed demand with mean and s.d. = ( - Q*)[1-Fs{(Q*- )/}]+ fs [(Q*- )/]
= ( - Q*)[ 1-NORMDIST{(Q*- )/,0,1,1}]+ NORMDIST[(Q*- )/,0,1,0]
22Source: Supply Chain Management, Sunil Chopra, Pearson Education India, 3rd Ed., 2008
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Re-visiting Newsvendor Problem
Expected Profit from an order for Normally distributed demand with mean and s.d.
= (p-s)Fs {(Q*- )/} (p-s) fs {(Q*- )/} - Q*(c-s)F(Q*,,) + Q*(p-c)[1- F(Q*,,) ]
= (p-s) NORMDIST[{Q*- )/} 0,1,1] (p-s) NORMDIST [{Q*- )/} 0,1,0] - Q*(c-s)NORMDIST(Q*,,) + Q*(p-c)[1- NORMDIST(Q*,,) ]
23Source: Supply Chain Management, Sunil Chopra, Pearson Education India, 3rd Ed., 2008
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Supply Chain Contracting at Umbra Visage (UV)
Example:
Zamatia makes sunglass at a cost of $35 and sells them to UV for $75.
UV sells them for $115 and salvages left over inventory for $25 per unit.
Demand is normal with mean 250 and standard deviation 125.
UV faces a newsvendor problem.
UV:
Cu = 115 - 75 = 40, Co =75 - 25 = 50, Critical ratio = 40 / 90 = 0.44
Q = + Z* = 250 + (-0.13)*125 = 234
Expected Profit of UV= $5580
Profit of Zamatia = 40*234 = $9360
Total supply chain profit = $14940
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Supply chain:
Cu = 115 - 35 = 80, Co =35 - 25 = 10, Critical ratio = 80 / 90 = 0.89
Supply chains critical ratio is much higher than UVs critical ratio!
Q = + Z* = 250 + (1.23)*125 = 404
Expected Profit = $ 17830
What is the order quantity if a single firm made the decision for the supply chain?
Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012
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Operations Management-104 25
Supply Chain Contracting at Umbra Visage (UV)
Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012
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Suboptimal supply chain performance occurs because
Each firm makes decisions based on their own margin, not the supply chains margin.
This is called double marginalization.
Supply Chain Contracting at Umbra Visage (UV)
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Buy-Back Contracts
Let Zamatia offer Umbra to buy back the leftover sunglasses at the end of the season at a price of $75
UV incurs a cost of $1.50 per pair for shipping leftover inventory to Zamatia
Zamatias salvages these sunglasses for $26.50
Cu = 115 - 75 = 40, Co =1.50, Critical ratio = 40 / 41.5 = 0.9639
Q = 475
UVs expected profit = $9580
Expected Leftover Inventory = 227
Zamatias expected profit = (475*75) (475*35) (227*75) + (227* 26.5) = $7991
Total supply chain profit = $9580 + $ 7991 = $17571
Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012
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There is a wholesale/buy back price combination that makes both firms better off!
Buy-Back Contracts
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Let Zamatia offer Umbra to buy back the leftover sunglasses at the end of the season at a price of $65
UV incurs a cost of $1.50 per pair for shipping leftover inventory to Zamatia
Zamatias salvages these sunglasses for $26.50
Cu = 115 - 75 = 40, Co =1.50 + 75-65 = 11.50, Critical ratio = 0.7767
Q = 346
UVs expected profit = $8072
Expected Leftover Inventory = 112
Zamatias expected profit = 9528
Total supply chain profit = $17600
Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012
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Suppose Zamatia offers to buy-back unsold sunglasses at b per unit:
Choose b to make UVs critical ratio equal the supply chains critical ratio:
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Buy back price Shipping cost Price
Price Salvage valuePrice Wholesale price
Price Cost
$115 $25
$1.5 $115 $115 $75 $71.5$115 $35
Buy back price
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Buy-Back Contracts
Buy Back Contracts Summary:
What are they?
Retailer is allowed to return to the supplier goods left over at the end of the selling season.
How do they improve supply chain performance?
The retailers overage cost is reduced, so the retailer stocks more.
Allows for the redistribution of inventory risk across the supply chain.
Could protect the suppliers brand image by avoiding markdowns.
What are the costs of buy-backs?
Administrative costs plus additional shipping and handling costs.
Where are they used?
books, cosmetics, music CDs, agricultural chemicals, electronics
Other Contracts: Revenue Sharing, Quantity Flexibility
Source: Matching Supply with Demand, Cachon and Terwiesch, McGraw-Hill, 2012