6.01 facility location (1pp).pdf

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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