supply chain integration and e-business strategies - rg
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Supply Chain Integration
and e-Business Strategies
Ranjan Ghosh
Indian Institute of ManagementCalcutta
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Outline
Review
Supply Chain Dynamics
A new Supply Chain Paradigm Matching Products with Strategies
e-Business Opportunities
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The Dynamics of the Supply
Chain
OrderS
ize
Time
Source: Tom Mc Guffry, Electronic Commerce and Value Chain Management, 1998
CustomerDemand
Retailer Orders
Distributor Orders
Production Plan
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The Dynamics of the Supply
Chain
OrderS
ize
Time
Source: Tom Mc Guffry, Electronic Commerce and Value Chain Management, 1998
CustomerDemand
Production Plan
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What are the Causes
Promotional sales
Volume and Transportation discounts
Batching Inflated orders
Demand Forecast
Long cycle times Lack of Visibility to demand information
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Consequences
Increased safety stock
Reduced service level
Inefficient allocation of resources
Increased transportation costs
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The Bullwhip Effect:Causes thereof
Variability in customer orders
Delivery lags, particularly long cycle times
Information lags
Promotional Campaigns/Variation in Prices
Over and Under Ordering
Lumpiness in ordering Misperceptions of feedback
Chain accumulations
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The Bullwhip Effect:Managerial Insights
Exists, in part, due to the retailers need toestimate the mean and variance of demand.
The increase in variability is an increasing
function of the lead time. The more complicated the demand models
and the forecasting techniques, the greaterthe increase.
Centralized demand information can reducethe bullwhip effect, but will not eliminate it.
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Coping with the Bullwhip Effectin Leading Companies
Reduce Variability and Uncertainty
- POS
- Sharing Information
- Year-round low pricing
Reduce Lead Times
- EDI
- Cross Docking
Collaborative Channel Management & Alliances
Vendor managed inventory
On-site vendor representatives
Th F i N
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The Future is Not
What
it Used to be
Reduce cost
Increase Profit
Increase service level
Increase flexibility
A new Business Modele-
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Reality is Different..
Peapod Example Founded 1989
140,000 members, largest on-line grocer
Revenue tripled to $73 million in 1999
1st Quarter of 2000: $25M Sales, Loss: $8M
Amazon.com Example Founded in 1995; 1st Internet purchase for most people
1996: $16M Sales, $6M Loss
1999: $1.6B Sales, $720M Loss 2000: $2.7B Sales, $1.4B Loss
Last quarter of 2001: $50M Profit
Total debt: $2.2B
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Reality is Different.
Dell Example: Dell Computer has outperformed the competition in
terms of shareholder value growth over the eight
years period, 1988-1996, by over 3,000% (seeAnderson and Lee, 1999)
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Reality is Different.
Cisco Example:
Ciscos Internet based business model has beeninstrumental in our ability to quadruple in size from
fiscal 1994 to fiscal 1998 ($1.3B to over $8B), hireapproximately 1000 new employees per quarter andsaving $560M annually in business expenses (PeterSolvik, CIO Cisco)
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e-Business is a collection of business modelsand processes motivated by Internet
technology, and focusing on improving theextended enterprise performance e-commerce is part of e-Business
Internet technology is the driver of the businesschange
The focus is on the extended enterprise: Intra-organizational
Business to Consumer (B2C)
Business to Business (B2B)
The e-BusinessModel
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A new Supply Chain Paradigm
A shift from a Push System...
Production decisions are based onforecast
to a Push-Pull System
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From Make-to-Stock Model.
ConfigurationAssemblySuppliers
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Demand Forecast
The three principles of all forecastingtechniques:
Forecasts are usually wrong
The longer the forecast horizon the worst
is the forecast
Aggregate forecasts are more accurate The Risk Pooling Concept
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A new Supply Chain Paradigm
A shift from a Push System...
Production decisions are based onforecast
to a Push-Pull System
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Push-Pull Supply Chains
Push-Pull Boundary
PUSH STRATEGY PULL STRATEGY
Low Uncertainty High Uncertainty
The Supply Chain Time Line
CustomersSuppliers
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A new Supply Chain Paradigm
A shift from a Push System...
Production decisions are based onforecast
to a Push-Pull System
Parts inventory is replenished based onforecasts
Assembly is based on accurate customerdemand
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.to Assemble-to-Order Model
ConfigurationAssemblySuppliers
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Business models in the BookIndustry
From Push Systems...
Barnes and Noble
...To Pull Systems
Amazon.com, 1996-1999
And, finally to Push-Pull Systems
Amazon.com, 1999-present 7 warehouses, 3M sq. ft.,
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Direct-to-Consumer:Cost Trade-Off
Cost Trade-Off for BuyPC.com
$0$2$4
$6$8
$10$12$14$16
$18$20
0 5 10 15
Number of DC's
Cost($million)
Total Cost
Inventory
Transportation
Fixed Cost
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Industry Benchmarks:Number of Distribution Centers
Sources: CLM 1999, Herbert W. Davis & Co; LogicTools
Avg.# ofWH 3 14 25
Pharmaceuticals Food Companies Chemicals
- High margin product- Service not important (oreasy to ship express)- Inventory expensiverelative to transportation
- Low margin product- Service very important- Outbound transportationexpensive relative to inbound
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e-Business in the Retail Industry
Brick-&-Mortar companies establish Virtual retailstores
Wal-Mart, K-Mart, Barnes and Noble
Use a hybrid approach in stocking High volume/fast moving products for local storage
Low volume/slow moving products for browsing andpurchase on line
Channel Conflict Issues
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E-Fulfillment Requires aNew Logistics Infrastructure
Traditional Supply Chain e-Supply Chain
Supply Chain Strategy Push Push-Pull
Shipment Type Bulk Parcel
Inventory Flow Unidirectional Bi-directional
Reverse Logistics Simple Highly Complex
Destination Small Number of Stores Highly Dispersed Customers
Lead Times Depends Short
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Wal-Marts e-fulfillmentStrategy
Wal-Mart has always prided itself in its in-housedistribution operations.
Thus, it was a huge surprise when the companyannounced that it plans to hire an outside firm to handle
order fulfillment and warehousing for its on-line storeWal-Mart.com, which the retailer launched in the fall of1999.
Filling orders behind the scenes of Wal-Marts cyberstoreis Fingerhut Business Services. Fingerhut will provide
Internet order fulfillment, warehousing, shipment,payment processing, customer service and merchandisereturns.
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Matching Supply ChainStrategies with Products
Pull Push
Pull
Push
I
Computer
II
IV III
Demanduncertainty
(C.V.)
Delivery cost
Unit price
L H
H
L
Economies of
Scale
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Locating the Push-PullBoundary
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Organizational Skills Needed
RawMaterial Customers
PullPush
Low Uncertainty
Long Lead Times
Cost Minimization
Resource Allocation
High Uncertainty
Short Cycle Times
Service Level
Responsiveness
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e-Business Opportunities:
Reduce Facility Costs
Eliminate retail/distributor sites
Reduce Inventory Costs
Apply the risk-pooling concept
Centralized stocking
Postponement of product differentiation
Use Dynamic Pricing Strategies toImprove Supply Chain Performance
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e-Business Opportunities:
Supply Chain Visibility
Reduction in the Bullwhip Effect Reduction in Inventory
Improved service level
Better utilization of Resources
Improve supply chain performance Provide key performance measures
Identify and alert when violations occur
Allow planning based on global supply chain data