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    Supply Chain

    Integration

    Phil [email protected]

    David Simchi-Levi

    Philip Kaminsky

    Edith Simchi-Levi

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    The Old Paradigm:

    Push Strategies Production decisions based on long-term

    forecasts

    Ordering decisions based on inventory &forecasts

    What are the problems with push strategies? Inability to meet changing demand patterns

    Obsolescence The bullwhip effect:

    Excessive inventory

    Excessive production variability

    Poor service levels

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    A Newer Paradigm:

    Pull Strategies Production is demand driven

    Production and distribution coordinated with true customerdemand

    Firms respond to specific orders

    Pull Strategies result in: Reduced lead times (better anticipation)

    Decreased inventory levels at retailers and manufacturers

    Decreased system variability

    Better response to changing markets

    But: Harder to leverage economies of scale

    Doesnt work in all cases

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    Push and Pull Systems

    What are the advantages of push

    systems? What are the advantages of pull

    systems?

    Is there a system that has theadvantages of both systems?

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    A new Supply Chain

    Paradigm A shift from a Push System...

    Production decisions are based on forecast

    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 on forecast

    to a Push-Pull System Initial portion of the supply chain is replenished

    based on long-term forecasts For example, parts inventory may be replenished

    based on forecasts

    Final supply chain stages based on actualcustomer demand. For example, assembly may based on actual orders.

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    ConsiderTwo PC

    Manufacturers: Build to Stock

    Forecast demand

    Buys components Assembles computers

    Observes demand andmeets demand if

    possible. A traditional push

    system

    Build to order

    Forecast demand

    Buys components Observes demand

    Assembles computers

    Meets demand

    A push-pull system

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    Push-Pull Strategies

    The push-pull system takes advantage ofthe rules of forecasting:

    Forecasts are always wrong The longer the forecast horizon the worst is the

    forecast

    Aggregate forecasts are more accurate The Risk Pooling Concept

    Delayed differentiation is another example ConsiderBenetton sweater production

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    What is the Best

    Strategy?

    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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    Selecting the Best SC

    Strategy Higher demand uncertainty suggests push

    Higher importance of economies of scale suggests

    push High uncertainty/ EOS not important such as the

    computer industry implies pull

    Low uncertainty/ EOS important such as groceries

    implies push Demand is stable

    Transportation cost reduction is critical

    Pull would not be appropriate here.

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    Selecting the Best SC

    Strategy Low uncertainty but low value of economies

    of scale (high volume books and cds)

    Either push strategies or push/pull strategiesmight be most appropriate

    High uncertainty and high value ofeconomies of scale For example, the furniture industry

    How can production be pull but delivery push?

    Is this a pull-push system?

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    Characteristics and Skills

    RawMaterial Customers

    PullPush

    Low Uncertainty

    Long Lead Times

    Cost Minimization

    ResourceA

    llocation

    High Uncertainty

    Short Cycle Times

    Service Level

    Responsiveness

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    Locating the Push-Pull

    Boundary The push section:

    Uncertainty is relatively low Economies of scale important Long lead times

    Complex supply chain structures: Thus

    Management based on forecasts is appropriate Focus is on cost minimization Achieved by effective resource utilization supply chain optimization

    The pull section: High uncertainty Simple supply chain structure Short lead times

    Thus Reacting to realized demand is important Focus on service level Flexible and responsive approaches

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    Locating the Push-Pull

    Boundary The push section requires: Supply chain planning

    Long term strategies

    The pull section requires: Order fulfillment processes

    Customer relationship management Buffer inventory at the boundaries: The output of the tactical planning process

    The input to the order fulfillment process.

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    Locating the Push-Pull

    Boundary

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    Impact of the Internet

    Expectations Were High

    E-business strategies were supposed to:

    Reduce cost

    Increase service level

    Increase flexibility

    Increase Profit

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    Reality is Different..

    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

    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

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    Reality is Different.

    Furniture.com launched in 1999, withthousands of products

    $22 Million in sales the first nine months

    Over 1,000,000 visitors per month

    Died November 6, 2000

    Logistics costs too high

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    Reality is Different.

    Dell Example: Dell Computer has outperformed the competition in

    terms of shareholder value growth over the eight yearsperiod, 1988-1996, by over 3,000% (see Anderson andLee, 1999)

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    What is E-Business?

    E-business is a collection of business models andprocesses motivated by Internet technology, and focusingon improving the extended enterprise performance

    E-commerce is the ability to perform major commercetransactions electronically e-commerce is part of e-Business

    Internet technology is the driver of the business change

    The focus is on the extended enterprise: Intra-organizational

    Business to Consumer (B2C)

    Business to Business (B2B)

    The Internet can have a huge impact on supply chainperformance.

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    The Book Selling Industry

    From Push Systems... Barnes and Noble

    ...T

    o Pull Systems Amazon.com, 1996-1999 No inventory, used Ingram to meet most demand Why?

    And, finally to Push-Pull Systems Amazon.com, 1999-present

    7 warehouses, 3M sq. ft.,

    Why the switch? Margins, service, etc. Volume grew

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    Direct-to-Consumer:Cost

    Trade-Off

    Cost r - ff f or C. om

    $0

    $2$4

    $6

    $8

    $10

    $12

    $14

    $16

    $18

    $20

    0 5 10 15

    Numberof C's

    Cost($

    million

    Tot l ost

    I tor

    Tr s ort tion

    Fi ost

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    Challenges for On-line

    Grocery Stores Transportation cost

    Density of customers

    Very short order cycle times Less than 12 hours

    Difficult to compete on cost Must provide some added value such as convenience

    Is a push-pull strategy appropriate? What might be a better strategy?

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    Less than 300,000

    shoppers NNuummbbeerr ooff

    ccuussttoommeerrss

    AAvveerraaggee

    oorrddeerr

    DDeelliivveerryy cchhaarrggeess

    WWeebbvvaann 2211000000 $$7711 $$44..9955 ffoorr> $$5500PPeeaappoodd 114400000000 $$112200 $$77..9955 ppeerroorrddeerr

    HHoommeeGGrroocceerr..ccoomm 5500000000 $$111100 $$99..9955 > $$7755

    NNeettGGrroocceerr..ccoomm 6600000000 $$7700 $$22..9999 ffoorr> $$5500SShhooppLLiinnkk..ccoomm 33330000 $$9988 $$2255 mmoonntthhllyy

    SSttrreeaammlliinnee..ccoomm 33440000 $$110000 $$3300

    Source: D. Ratliff

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    A New Type of Home

    Grocer grocerystreet.com

    On-line window for retailers

    The on-line grocer picks products at the store

    Customer can pick products at the store or payfor delivery

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    The Retail Industry

    Brick-and-mortar companies establish virtual retailstores

    Wal-Mart, K-Mart, Barnes & Noble, Circuit City An effective approach - hybrid stocking strategy

    High volume/fast moving products for local storage

    Low volume/slow moving products for browsing and

    purchase on line (risk pooling)

    Danger of channel conflict

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    E-Fulfillment

    How have strategies changed?

    From shipping cases to single items

    From shipping to a relatively small number ofstores to individual end users

    What is the difference between on-line and

    catalogue selling? Consider for instance Lands End which has

    both channels

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    2003 Simchi-Levi, Kaminsky, Simchi-Levi

    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 to ImproveSupply 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

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    Distribution Strategies

    Warehousing

    Direct Shipping

    No DC needed

    Lead times reduced

    smaller trucks

    no risk pooling effects

    Cross-Docking

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    Cross Docking

    In 1979 Kmart had 1891 stores and average revenues per store of $7.25

    million

    Wal-Mart was a small niche retailer in the South with only 229stores and average revenues under $3.5 million

    10 Years later Wal-Mart had

    highest sales per square foot of any discount retailer

    highest inventory turnover of any discount retailer Highest operating profit of any discount retailer.

    Today Wal-Mart is the largest and highest profit retailer in the world

    Kmart ????

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    What accounts forWal-Marts

    remarkable success A focus on satisfying customer needs

    providing customers access to goods when and where they wantthem

    cost structures that enable competitive pricing This was achieved by way the company replenished

    inventory the centerpiece of its strategy. Wal-Mart employed a logistics technique known as cross-

    docking goods are continuously delivered to warehouses where they are

    dispatched to stores without ever sitting in inventory. This strategy reduced Wal-Marts cost of sales significantly

    and made it possible to offer everyday low prices to theircustomers.

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    Characteristics of Cross-

    Docking:

    Goods spend at most 48 hours in the warehouse

    Cross Docking avoids inventory and handling

    costs, Wal-Mart delivers about 85% of its goods through

    its warehouse system, compared to about 50% forKmart

    Stores trigger orders for products.

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    System Characteristics:

    Very difficult to manage Requires advanced information technology. Why? What

    kind of technology? All ofWal-Marts distribution centers, suppliers and stores

    are electronically linked to guarantee that any order isprocessed and executed in a matter of hours

    Wal-Mart operates a private satellite-communications

    system that sends point-of-sale data to all its vendorsallowing them to have a clear vision of sales at the stores

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    System Characteristics:

    Needs a fast and responsive transportationsystem. Why?

    Wal-Mart has a dedicated fleet of 2000 truck thatserve their 19 warehouses

    This allows them to ship goods from warehouses to stores in less

    than 48 hours replenish stores twice a week on average.

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    StrategyAttribute

    irectShipment

    rossocking

    Inventory atWarehouses

    Riskooling

    TakeAdvantage

    Transportationosts

    ReducedInbound osts

    ReducedInbound osts

    olding

    osts

    o Warehouse

    osts

    o olding

    ostsemand

    ariabilityelayed

    Allocationelayed

    Allocation

    Distribution Strategies

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    2003 Simchi-Levi Kaminsky Simchi-Levi

    Transshipment

    What is the value of this?

    What tools are needed? What if the system is

    decentralized?