© 2004 Prentice-Hall, Inc. Chapter 5 Network Design in a Supply Chain Supply Chain Management (2nd Edition) 5-1
Dec 26, 2015
© 2004 Prentice-Hall, Inc.
Chapter 5Network Design in a Supply Chain
Supply Chain Management(2nd Edition)
5-1
© 2004 Prentice-Hall, Inc.
Outline
A strategic framework for facility location Multi-echelon networks Gravity methods for location Plant location models
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Network Design Decisions
Facility role Facility location Capacity allocation Market and supply allocation
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Factors InfluencingNetwork Design Decisions
Strategic Technological Macroeconomic Political Infrastructure Competitive Logistics and facility costs
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The Cost-Response Time Frontier
Local FG
Mix
Regional FG
Local WIP
Central FG
Central WIP
Central Raw Material and Custom production
Custom production with raw material at suppliers
Cost
Response Time HiLow
Low
Hi
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Service and Number of Facilities
Number of Facilities
ResponseTime
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Costs and Number of Facilities
Costs
Number of facilities
Inventory
Transportation
Facility costs
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Percent Service Percent Service Level Within Level Within
Promised TimePromised Time
TransportationTransportation
Cost Buildup as a Function of FacilitiesC
ost
of O
per
atio
ns
Cos
t of
Op
erat
ion
s
Number of FacilitiesNumber of Facilities
InventoryInventory
FacilitiesFacilities
Total CostsTotal Costs
LaborLabor
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A Framework forGlobal Site Location
PHASE ISupply Chain
Strategy
PHASE IIRegional Facility
Configuration
PHASE IIIDesirable Sites
PHASE IVLocation Choices
Competitive STRATEGY
INTERNAL CONSTRAINTSCapital, growth strategy,existing network
PRODUCTION TECHNOLOGIESCost, Scale/Scope impact, supportrequired, flexibility
COMPETITIVEENVIRONMENT
PRODUCTION METHODSSkill needs, response time
FACTOR COSTSLabor, materials, site specific
GLOBAL COMPETITION
TARIFFS AND TAXINCENTIVES
REGIONAL DEMANDSize, growth, homogeneity,local specifications
POLITICAL, EXCHANGERATE AND DEMAND RISK
AVAILABLEINFRASTRUCTURE
LOGISTICS COSTSTransport, inventory, coordination
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Tailored Network: Multi-Echelon Finished Goods Network
RegionalRegionalFinishedFinished
Goods DCGoods DC
RegionalRegionalFinishedFinished
Goods DCGoods DC
Customer 1Customer 1DCDC
Store 1Store 1
NationalNationalFinishedFinished
Goods DCGoods DC
Local DCLocal DCCross-DockCross-Dock
Local DC Local DC Cross-DockCross-Dock
Local DCLocal DCCross-DockCross-Dock
Customer 2Customer 2DCDC
Store 1Store 1
Store 2Store 2
Store 2Store 2
Store 3Store 3
Store 3Store 3
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Gravity Methods for Location
Ton Mile-Center Solution– x,y: Warehouse Coordinates
– xn, yn : Coordinates of delivery
location n
– dn : Distance to delivery
location n
– Fn : Annual tonnage to delivery
location n
n
i i
i
n
i
i
i
ii
n
i i
i
n
i
i
i
ii
n
dF
dF
Fy
y
dF
dF
Fx
x
yyxxd nn
1
1
1
1
22 )()(
Min )()( 22 yyxxF iii
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Network Optimization Models
Allocating demand to production facilities Locating facilities and allocating capacity
Which plants to establish? How to configure the network?
Key Costs:
• Fixed facility cost• Transportation cost• Production cost• Inventory cost• Coordination cost
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Demand Allocation Model
Which market is served by which plant?
Which supply sources are used by a plant?
xij = Quantity shipped from plant site i to customer j
0
..
1
1
1 1
x
Kx
Dx
ts
xcMin
ij
i
m
jij
j
n
iij
n
i
m
jijij
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Plant Location with Multiple Sourcing
yi = 1 if plant is located at site i, 0 otherwise
xij = Quantity shipped from plant site i to customer j
}1,0{;
..
1
1
1
1 11
yky
yKx
Dx
ts
xcyfMin
i
m
ii
ii
n
jij
j
n
iij
n
i
m
jijiji
n
ii
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Value of Adding 0.1 Million Pounds Capacity (1982)
Mexico $0
Canada $8,300
Venezuela $36,900
Frankfurt $22,300
Gary $25,200
Sunchem $0
Should be evaluated as an option and priced accordingly.
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Evaluating Facility Investments: AM Tires
Dedicated Plant Flexible PlantPlantFixed Cost Variable Cost Fixed Cost Variable Cost
US 100,000 $1 million/yr. $15 / tire $1.1 million/ year
$15 / tire
Mexico50,000
4 millionpesos / year
110 pesos /tire
4.4 millionpesos / year
110 pesos /tire
U.S. Demand = 100,000; Mexico demand = 50,0001US$ = 9 pesos
Demand goes up or down by 20 percent with probability 0.5 andexchange rate goes up or down by 25 per cent with probability 0.5.
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AM Tires
RU=100RM=50
E=9
Period 0 Period 1 Period 2
RU=120RM = 60E=11.25
RU=120RM = 60E=6.75
RU=120RM = 40E=11.25
RU=120RM = 40E=6.75
RU=80RM = 60E=11.25
RU=80RM = 60E=6.75
RU=80RM = 40E=11.25
RU=80RM = 40E=6.75
RU=144RM = 72E=14.06
RU=144RM = 72E=8.44
RU=144RM = 48E=14.06
RU=144RM = 48E=8.44
RU=96RM = 72E=14.06
RU=96RM = 72E=8.44
RU=96RM = 48E=14.06
RU=96RM = 48E=8.44
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AM TiresFour possible capacity scenarios:• Both dedicated• Both flexible• U.S. flexible, Mexico dedicated• U.S. dedicated, Mexico flexible
For each node, solve the demand allocation model. Plants Markets
U.S.
Mexico
U.S.
Mexico
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Facility Decision at AM Tires
Plant ConfigurationUnited States Mexico
NPV
Dedicated Dedicated $1,629,319Flexible Dedicated $1,514,322
Dedicated Flexible $1,722,447Flexible Flexible $1,529,758
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Capacity Investment Strategies
Speculative Strategy– Single sourcing
Hedging Strategy– Match revenue and cost exposure
Flexible Strategy– Excess total capacity in multiple plants– Flexible technologies
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Summary of Learning Objectives
What is the role of network design decisions in the supply chain?
What are the factors influencing supply chain network design decisions?
Describe a strategic framework for facility location.
How are the following optimization methods used for facility location and capacity allocation decisions?– Gravity methods for location– Network optimization models
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