6.01 facility location (1pp).pdf
TRANSCRIPT
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Facility Location and Facility
Layout
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Strategic Importance Supply-chain management is critical
Facility locationintrinsically related to SCM Examples:
FedEx: While opening a hub for Asia in Philippines1995
it had to evaluate several sites Linking its American (Memphis) and European (Paris) Hubs
BTW, the facility was closed and the new hub since 2009 isin Guangzhou, Southern China
Mercedes first overseas plant in Vance, Alabama
Evaluated 170 sites in 30 states and 2 countries
Hard Rock Caf location in Moscow in 2002 Took 3 years of advance planning
Russian Food Supply Chain
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Facility Location
Global Nature of Location Decision
Objective: Maximize the benefit of locationto a firm Marketing Strategy: New Markets
Global Growth: New Markets and supply chainconsiderations
Cost of Doing Business: Attractive alternatives torelocate business elsewhere
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Location Options
Expand existing facility
Add new location while retaining existinglocation
Close existing operation and move to anew location
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Location Decision Factors
Country Factors
Site-related FactorsRegional Factors
Community Considerations
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Site Selection Factors (Country andRegion)
Government stability Government regulations Political and economic systems Economic stability Exchange rates Culture Climate Export and import regulations,
duties and fees
Raw material availability Number and proximity of suppliers Transportation system Labor pool and cost Available technology Commercial travel Technical expertise
Labor (availability, cost and unions) Proximity of customers Number of customers Construction/leasing costs Land costs Modes and quality of transportation Transportation costs
Government regulations Environmental regulations Raw material availability Commercial travel Climate Utilities
Region
Country
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Site Selection Factors -(Community andSite)
Community government Local business regulations Environmental regulations Government services Business climate Community services Transportation system Proximity of customers Concentration of customers
Taxes Construction/leasing costs Land cost Availability of sites Financial Services Labor pool Community inducements Proximity of suppliers
Communi ty
Customer base Construction/leasing cost Land cost Site size Transportation Utilities
Zoning restrictions Traffic Safety/security Competition Area business climate Income level
Site
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Some Facts: Location Decisions
Globalization: A two way street for Americans
Labor costs and productivity issues Worker skills: e.g. call centers and CPA jobs to India.
Government Incentives: Alabama gave $169K per job intax incentives to Mercedes in 1993
Sunbelt is growing Attitudes with respect to: pollution, zoning, intellectualproperty, unionism, turnover, absenteeism, punctuality,bribe, ethics, etc.
Proximity
Markets Suppliers
Competition (clustering)
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Evaluating Locations
Factor Rating (The Scoring Model)
Decision based on quantitative and qualitativeinputs
Center of Gravity Method
Decision based on minimum distribution costs
Transportation Model Decision based on movement costs of raw
materials or finished goods
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Location Factor Rating
Labor pool and climate
Proximity to suppliersWage rates
Community environment
Proximity to customers
Shipping modesAir service
.30
.20
.15
.15
.10
.05
.05
80
100607565
8550
65
91958090
9265
90
75728095
6590
Location Factor Weight Site 1 Site 2 Site 3
Scores (0 to 100)
More
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Location Factor Rating(Weighted Scores)
Labor pool and climate
Proximity to suppliersWage rates
Community environment
Proximity to customers
Shipping modesAir service
Total Score
24.00
20.009.00
11.256.50
4.252.50
77.50
19.50
18.2014.2512.009.00
4.603.25
80.80
27.00
15.0010.8012.00
9.50
3.254.50
82.05
Location Factor Site 1 Site 2 Site 3
Weighted Scores
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Center of Gravity Technique
y2
y
y1
y3
x1 x2 x3 x
1 (x1, y1), W1
2 (x2, y2), W2
3 (x3, y3), W3
where,
x, y= coordinates of the new facility
at center of gravity
xi
, yi
= coordinates of existing facility i
Wi= annual weight shipped from
facility i
n
Wi
i = 1
xiWii = 1
n
x =
n
Wi
i = 1
yiWii = 1
n
y =
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Ex: Locate a warehouse to serve thefollowing four cities with given demand
Location Demand
` (Millions)
_______________________________
Dallas 1
LA 3
New York 3Chicago 2
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Ex: Locate a warehouse to serve thefollowing four cities with given demand
Location Demand (Millions) Coordinates
(Weights)
_____________________________________
Dallas 1 (8,3)
LA 3 (0,4)New York 3 (14,8)
Chicago 2 (10,7)
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Center of Gravity Location
Cx = (1*8+3*0+3*14+2*10)/(1+3+3+2)
= (8+0+42+20)/9 = 70/9 = 7.78
Cy = (1*3+3*4+3*8+2*7)/(1+3+3+2)= (3+12+24+14)/9 = 53/9 = 5.89
Location Coordinate = (7.78, 5.89)
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Transportation Method
Ex: W.A.T., Inc - Currently maintainsplants in Atlanta and Tulsa to supply tomajor distribution centers in Los Angeles
and New York City. Because of anexpanding demand, WAT Inc. has decidedto open a new plant and has narrowed the
choice to one of the two cities--NewOrleans and Houston. Use the followingto arrive at a solution.
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Production & Shipping Cost/Unit Capacity
--------------------------------------------
From\To LA NY----------------------------------------------------------------------------------
Atlanta 14 11 600
Tulsa 9 12 900
Houston* 10 7 500*
New Orleans* 9 11 500*
----------------------------------------------------------------------------------
Demand 800 1200
* Proposed sites
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Least Cost Cell Allocation
Quick and dirty way to find a reasonablygood (but not necessarily an optimal)solution.
For cost minimization problems,
1. Identify least cost cell and allocated themaximum feasible quantity to that cell.
2. Cross out rows and columns that haveexhausted demand/capacity.
3. In case of tie between cells with leastcost, select the cell that canaccommodate the maximum quantity.
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Transportation Table
From/To-> Capacity
Demand
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Transportation Table
From/To-> Capacity
Demand
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Demand Centers are LA & NYC
From/To-> LA NYC Capacity
Demand 800 1200
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Decision?
Based on the cost locate the facility inHOUSTON