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Supply Chain Integration

SCM - Supply Chain Integration

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Page 1: SCM - Supply Chain Integration

Supply ChainIntegration

Page 2: SCM - Supply Chain Integration

© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

SUPPLY CHAIN INTEGRATION• A supply chain is a sequence of

processes that take place within different stages to fill a customer need for a product.

• There are two different ways to view the processes performed in a supply chain

1. Cycle View :- A series of cycles, each performed at the interface between two successive stages of a supply chain.

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

2. Push / Pull View:- With Pull Processes – execution is initiated

in response to a customer order (Customer demand is known with certainty – also called as reactive processes)

With Push Processes – execution is initiated in anticipation of customer orders. (Customer demand is not known and must be forecast – also referred to as speculative processes)

The Push – Pull boundary in a supply chain separates push processes from pull processes.

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

A Newer Paradigm: Pull Strategies

Production is demand driven– Production and distribution coordinated with true customer

demand– 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– Doesn’t work in all cases

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

Push and Pull Systems

What are the advantages of push systems?

What are the advantages of pull systems?

Is there a system that has the advantages of both systems?

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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 actual customer demand.

For example, assembly may based on actual orders.

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

Consider Two PC Manufacturers:

Build to Stock– Forecast demand– Buys components– Assembles computers– Observes demand and

meets 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 of the 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

– Consider Benetton 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

Demand uncertainty

(C.V.)

Delivery costUnit price

L H

H

L

Economies of Scale

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

Selecting the Best SC Strategy

Higher demand uncertainty suggests pull 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 cd’s)– Either push strategies or push/pull strategies

might be most appropriate High uncertainty and high value of

economies 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

Resource Allocation

High Uncertainty

Short Cycle Times

Service Level

Responsiveness

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

Locating the Push-Pull Boundary

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Classification of Industries

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Classification of Industries

Based on Nature of work Production Industries

• Process Industries• Discrete Item Mfg. Industries

Project Industries• Workers / Tools / Equipments brought to the Site• Has to be completed within a stipulated duration of Time

Service Industries • Software Companies, Hospitality, Healthcare Sector etc

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Based on volume of work

Classification based on the volume of Goods produced Job shop Production

• A limited number of goods produced• Low repetitive orders

Batch / Intermittent Production• Orders are taken in Batches• Volume of Production higher than in Jobshop production

Mass Production• Production done on a large / extensive scale• Goods for mass consumption

Cellular Production• Modular system of Production of Goods

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Based on Manufacturing Environment

Manufacturing Environment is essentially a framework under which the Management strategies are developed and implemented

A Manufacturing Environment is influenced by External factors such as Corporate Strategy, Business Unit Strategy, Product Selection, Process / Batch Manufacturing etc

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Customer Order Decoupling Point (CODP)

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Customer order Decoupling Point(Order Penetration Point)

Order Penetration Point (OPP) is a point in the company Material Flow where an Item becomes earmarked to a particular, specific, known customer

OPP is the last point where unallocated Inventory is held-It is the last point of Inventory

OPP affects both capacity and Materials Management

Upstream OPP means less risk for the Manufacturer while downstream OPP means shorter delivery times

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Order Penetration Point (OPP)Design Manufacturing Assembly Distribution Installation

Customer

(Example)

Home Appliances

Computers

Furniture

Special Purpose M/Cs

Oil Platforms

Standard products

Standard modules

Parts manufacturing

Make-to-order

Design-to-order

OPP

OPP

OPP

OPP

OPP

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Engineer – to – order

• Products whose customer specification require unique Engineering Design & significant customisation

• Create Solutions in response to customer request

• Long Leadtimes

• Examples – Construction of Bridge, Oil Rig etc

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Customer Order Decoupling Point (CODP)

(Engineer to order System)

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Make – to – order

• It is a Production Environment where Goods are made and Services rendered after the receipt of a customer’s order

• Low sales volume

• Products are with Long Leadtimes

• High Price Items

• Customer Engineering in conjunction with Supplier’s Design

• Example – Aircraft, Special Purpose Machines

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Customer Order Decoupling Point (CODP)

(Make to order System)

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Assemble – to – order

• A Production Environment where Goods or Services are assembled / developed after the receipt of customers’ order

• Wide variety in high volume with short leadtimes

• Use market research, sales history to forecast sales

• Higher Product volumes with lower Inventory

• Example – Automobiles, Consumer Electronics etc

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Customer Order Decoupling Point (CODP)

(Assemble to order System)

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Make – to – stock

• Basically an environment where products are usually kept finished

• Standard Products

• Immediate Delivery from Stock

• All variations available from Stock

• Large finished Goods Inventories

• Examples – Consumer Goods like Clothes, Appliances, Food items etc

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Customer Order Decoupling Point (CODP)

(Make to stock System)

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

What is E-Business?

E-business is a collection of business models and processes motivated by Internet technology, and focusing on improving the extended enterprise performance

E-commerce is the ability to perform major commerce transactions 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 chain performance.

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

The Book Selling Industry

From Push Systems...– Barnes and Noble

...To 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 Trade-Off for BuyPC.com

$0$2$4$6$8

$10$12$14$16$18$20

0 5 10 15

Number of DC's

Co

st (

$ m

illio

n)

Total Cost

Inventory

Transportation

Fixed Cost

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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 (or easy to ship express)- Inventory expensiverelative to transportation

- Low margin product- Service very important- Outbound transportationexpensive relative to inbound

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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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© 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 pay

for delivery

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

The Retail Industry

Brick-and-mortar companies establish virtual retail stores– 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 of

stores to individual end users What is the difference between on-line and

catalogue selling? Consider for instance Land’s End which has

both channels

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

E-Fulfillment Requires a New 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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© 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 Improve Supply Chain Performance

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

Distribution Strategies

Warehousing Direct Shipping

– No DC needed– Lead times reduced– “smaller trucks”– no risk pooling effects

Cross-Docking

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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 229

stores 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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

What accounts for Wal-Mart’s remarkable success

A focus on satisfying customer needs– providing customers access to goods when and where they want

them – 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-Mart’s cost of sales significantly

and made it possible to offer everyday low prices to their customers.

Page 53: SCM - Supply Chain Integration

© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

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% for Kmart

Stores trigger orders for products.

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

System Characteristics:

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

kind of technology? All of Wal-Mart’s distribution centers, suppliers and stores

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

Wal-Mart operates a private satellite-communications system that sends point-of-sale data to all its vendors allowing them to have a clear vision of sales at the stores

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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

System Characteristics:

Needs a fast and responsive transportation system. Why?

Wal-Mart has a dedicated fleet of 2000 truck that serve 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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© 2003 Simchi-Levi, Kaminsky, Simchi-Levi

StrategyAttribute

DirectShipment

CrossDocking

Inventory atWarehouses

RiskPooling

TakeAdvantage

TransportationCosts

ReducedInbound Costs

ReducedInbound Costs

HoldingCosts

No WarehouseCosts

No HoldingCosts

DemandVariability

DelayedAllocation

DelayedAllocation

Distribution Strategies