Supply Chain Management Lecture 8. Outline Today –Chapter 5 Skipping sections –Locating to Split...
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Transcript of Supply Chain Management Lecture 8. Outline Today –Chapter 5 Skipping sections –Locating to Split...
Outline
• Today– Chapter 5
• Skipping sections– Locating to Split the Market (3e: p. 120, 4e: p. 112)– Gravity Location Models (3e: p. 129-131, 4e: p.120-122)– Locating Plants and Warehouses Simultaneously (3e: p. 138-139, 4e: 129-131)– Accounting for Taxes, Tariffs and Customer Requirements (3e: p. 139-140, 4e p.
131-132)
• Next week– Chapter 6
• Homework 2 – Online Friday February 5– Due Thursday February 11 before class
Announcements
• The RedPrairie Supply Chain Challenge is a virtual competition using a customized web-based version of the Littlefield Technologies game from Responsive Technologies – Students will have the opportunity to manage make-to-
order factory and make forecasting, capacity, and inventory and pricing decisions
• Registration deadline – Feb 5, 2010, 5:00pm– http://avnettechgames.com/supplychain2010
Announcements
• Game Day – February 20, 2010
• Awards – “Each team member will win a $1000 scholarship”
Example: Dell Facility Location
• Constraints (Satisfy demand at each market)– 0 = 15,000 - XIreland,France - XPoland,France - XRomenia,France
– 0 = 20,000 - XIreland,Germany - XPoland,Germany - XRomenia,Germany
– 0 = 13,000 - XIreland,Italy - XPoland,Italy - XRomenia,Italy
– 0 = 12,000 - XIreland,Spain - XPoland,Spain - XRomenia,Spain
– 0 = 19,000 - XIreland,UK - XPoland,UK - XRomenia,UK
Romenia Poland Ireland DemandFrance 23 19 31 15,000Germany 9 15 11 20,000Italy 23 21 40 13,000Spain 29 26 40 12,000United Kingdom 33 36 20 19,000
Example: Dell Facility Location
• Constraints (Capacity cannot be exceeded)– 0 30,000*YRomenia
- XRomenia,France - XRomenia,Germany - XRomenia,Italy - XRomenia,Spain - XRomenia,UK
– 0 30,000*YPoland - XPoland,France - XPoland,Germany - XPoland,Italy - XPoland,Spain - XPoland,UK
– 0 30,000*YIreland - XIreland,France - XIreland,Germany - XIreland,Italy - XIreland,Spain - XIreland,UK Romenia Poland Ireland Demand
France 23 19 31 15,000Germany 9 15 11 20,000Italy 23 21 40 13,000Spain 29 26 40 12,000United Kingdom 33 36 20 19,000Capacity 80,000 80,000 80,000Fixed operating cost 18,000,000.00$ 17,500,000.00$ 24,500,000.00$
Factors Influencing Network Design Decisions
• Customer response time– Maintain a balance between an inexpensive location and proximity
to customers.
• Logistics and facility costs– Inventory and facility costs increase as the number of facilities
increase– Transportation costs decrease (up to a point) as the number of
facilities increase
LogisticsCosts
Number of Facilities
Transportation Costs
Facility Costs
Logistics Costs
Inventory Costs
Factors Influencing Network Design Decisions
• Strategic factors
GlobalCustomers
Offshore<low-cost>
<exports only>Many Asian plants
Source<low-cost>
<global market>Nike plants in Korea
Regional Customers
Server<local market><avoid tariffs>
Suziki’s Indian ventureMaruti
Contributor<customization>
<development skills>Maruti
Lead<advanced technology>
Lockheed Martin’s JSF in Dallas
Outpost<access to
knowledge>Dell in Ireland
Strategic role
Factors Influencing Network Design Decisions
• Macroeconomic factors– Quotas, tariffs, and tax incentives
• Economic trade agreements: Nafta, EU, APTA, AFTZ
– Exchange rate and demand risk– Different states or countries often offer economic incentives to
companies that decide to set up shop there, including tax incentives and low-interest economic development loans
How can trade agreements influence the number of facilities in a supply chain?
Factors Influencing Network Design Decisions
• Political factors– Political stability
• Infrastructure factors– Availability of transportation terminals, labor
• Most of Amazon’s distribution centers are located near airports
• Competitive factors– Positive externalities (many stores in a mall makes it more
convenient for customers – one location for everything the customers need)
Factors Influencing Network Design Decisions
• Technological factors– Compare your supplies to the final product, considering whether
value, weight, volume or other factors change – Availability of production technologies– High or low fixed cost
• Semiconductor manufacturing takes place only in 5-6 countries worldwide (building one plant costs about 1 to 4 billion dollars)
Which products gain/lose weight in the production process?
Amazon’s Growth in the US
Amazon offered 2.5 million titles, yet stocked only 2,000 titles
Amazon stocked over 200,000 titles and reduced promised delivery times
Seattle, WAOpened: 1996Closed: 200185,000 sq. feet
DelawareOpened: 1997220,000 sq. feet
DistributorWarehouse
Manufacturers
Consumers
DistributorWarehouse
Amazon’s Growth in the US
Seattle, WAOpened: 1996Closed: 200185,000 sq. feet
DelawareOpened: 1997220,000 sq. feet
Amazon had to decide how many DCs it should have and where to locate them
In 1998, Amazon expanded its product line (music, DVD) (1999: electronics, toys) (2000: health, kitchen)
Amazon’s Growth in the US
• Amazon executives turned to outside experts and used i2 Technologies’ Supply Chain Strategist software package– This software identified regions to consider for its
distribution facilities based on factors such as supplier and customer locations, inbound and outbound freight rates, warehousing expenses, labor, and other cost factors
– After selecting the major regions, Amazon's management narrowed its search based on additional factors such as tax rates, employment levels and the availability of suitable distribution facilities to lease
Amazon’s Growth in the US
Seattle, WAOpened: 1996Closed: 200185,000 sq. feet
Fernley, NVOpened: 1999322,560 sq. feet
DelawareOpened: 1997220,000 sq. feet
Coffeyville, KSOpened: 1999750,000 sq. feet
Lexington, KYOpened: 1999600,000 sq. feet
Cambellsville, KYOpened: 1999770,000 sq. feet
Mc DonoughOpened: 1999Closed: 2001800,000 sq. feet
“This has been the fastest expansion of distribution in peacetime history”
Amazon’s Growth in the US
• Evolution of fulfillment cost as a percentage of revenue
Quarter Fulfillment cost2000 / 1 17.3%2000 / 2 15.1%2000 / 3 15.1%2000 / 4 13.5%2001 / 1 14.1%2001 / 2 12.8%2001 / 3 12.8%2001 / 4 9.8%2002 / 1 10.6%2002 / 2 10.7%2002 / 3 10.6%2002 / 4 8.9%
Retailer
Manufacturers
Consumers
DistributorWarehouse
Manufacturers
Consumers
DistributorWarehouse
Network Optimization Problems
• Market and supply allocation– Demand allocation
• Facility location (and capacity allocation) – Capacitated plant location model
• Facility location 1-source (and capacity allocation)– Capacitated plant location model with single sourcing
Demand Allocation
• Which market is served by which plant?– Given m demand points, j=1..m with
demands Dj – Given n supply points, i=1..n with capacity
Ki – Each unit of shipment from supply point i
to demand point j costs cij
• Serve markets from supply points to demand points– xij = quantity shipped from plant site i to
customer j
0
..
1
1
1 1
x
Kx
Dx
xc
ij
i
m
jij
j
n
iij
n
i
m
jijij
ts
Min
3e: p. 132-133, 4e: p. 123-125
Capacitated Plant Location
Romenia
Poland
Ireland
France
Germany
Italy
Spain
United Kingdom
D1
D2
D3
D4
D5
K1
K2
K3
c11
c12c13
m demand pointsn supply pointsWhich supply point
operates?
y1 = yes or no
y2 = yes or no
y3 = yes or no
Capacitated Plant Location
• Which market is served by which plant?– None of the plants are open, a cost
fi is paid to open plant i – 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 11
y
yKx
Dx
xcyf
i
ii
m
jij
j
n
iij
n
i
m
jijiji
n
ii
ts
Min
3e: p. 133-135, 4e: p. 125-128
Capacitated Plant Location With Single Source (each customer has exactly one supplier)
Romenia
Poland
Ireland
France
Germany
Italy
Spain
United Kingdom
D1
D2
D3
D4
D5
K1
K2
K3
c11
c12c13
m demand pointsn supply pointsWhich supply point
operates?
y1 = yes or no
y2 = yes or no
y3 = yes or no
Capacitated Plant Location With Single Source (each customer has exactly one supplier)
• Which market is served by which plant?– None of the plants are open, a
cost fi is paid to open plant i
– yi = 1 if plant is located at site i, 0 otherwise
– xij = 1 if market j is supplied by factory i, 0 otherwise
}1,0{,
1
..
,
1
1
1 11
jii
ii
m
jj ij
n
iij
n
i
m
jijj iji
n
ii
xy
ts
Min
yKxD
x
xcDyf
3e: p. 135-137, 4e: p. 128-129
Example – SunOil
• SunOil, a manufacturer of petrochemical products with worldwide sales, needs to decide the regions in which facilities are to be located
Example – SunOil Capacitated Plant Location Model
cij = cost of producing and shipping one million units from plant i to market j
Example – SunOil Capacitated Plant Location Model
fi = annualized fixed cost of keeping plant i open
$6000$9000
$4500$6750
$4000$6000
$4100$6150
$6500$9750
Capacitated Plant Location
• Which market is served by which plant?– None of the plants are open, a cost
fi is paid to open plant i – 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 11
y
yKx
Dx
xcyf
i
ii
m
jij
j
n
iij
n
i
m
jijiji
n
ii
ts
Min
3e: p. 133-135, 4e: p. 125-128
Example – SunOil Capacitated Plant Location Model
Dj – ∑ni=1 xij = 0 for all j = 1, …, m (unmet demand)
7
Example – SunOil Capacitated Plant Location Model
1020
Kiyi – ∑mj=1 xij 0 for all i = 1, …, n (excess capacity)
Capacitated Plant Location With Single Source (each customer has exactly one supplier)
• Which market is served by which plant?– None of the plants are open, a
cost fi is paid to open plant i
– yi = 1 if plant is located at site i, 0 otherwise
– xij = 1 if market j is supplied by factory i, 0 otherwise
}1,0{,
1
..
,
1
1
1 11
jii
ii
m
jj ij
n
iij
n
i
m
jijj iji
n
ii
xy
ts
Min
yKxD
x
xcDyf
3e: p. 135-137, 4e: p. 128-129
Example – SunOil Single Source Model
xij = 1 if market j is supplied by plant i, 0 otherwiseyi = 1 if plant i is open, 0 otherwise