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Facility Location

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Page 1: Chapter 10 - Facility Location

Facility Location

Page 2: Chapter 10 - Facility Location

8 - 2© 2014 Pearson Education, Inc.

Outline

► The Strategic Importance of Location

► Factors That Affect Location Decisions

► Methods of Evaluating Location Alternatives

► Service Location Strategy

► Geographic Information Systems

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Learning ObjectivesWhen you complete this chapter you should be able to:

1. Identify and explain seven major factors that effect location decisions

2. Compute labor productivity

3. Apply the factor-rating method

4. Complete a locational break-even analysis graphically and mathematically

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The Strategic Importance of

Location

► One of the most important decisions a firm makes

► Increasingly global in nature

► Significant impact on fixed and variable costs

► Decisions made relatively infrequently

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The Strategic Importance of

Location

► Long-term decisions

► Once committed to a location, many resource and cost issues are difficult to change

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The Strategic Importance of

Location

The objective of location strategy is to maximize the benefit of location

to the firm

Options include

1. Expanding existing facilities

2. Maintain existing and add sites

3. Closing existing and relocating

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Location and Costs

► Location decisions based on low cost require careful consideration

► Once in place, location-related costs are fixed in place and difficult to reduce

► Determining optimal facility location is a good investment

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Factors That Affect Location

Decisions

▶ Globalization adds to complexity

▶Market economics

▶Communication

▶Rapid, reliable transportation

▶ Ease of capital flow

▶Differing labor costs

▶ Identify key success factors (KSFs)

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Location Decisions

Country Decision Key Success Factors

1. Political risks, government rules, attitudes, incentives

2. Cultural and economic issues

3. Location of markets

4. Labor talent, attitudes, productivity, costs

5. Availability of supplies, communications, energy

6. Exchange rates and currency risksFigure 9.1

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Location DecisionsRegion/

Community Decision

Key Success Factors

1. Corporate desires

2. Attractiveness of region

3. Labor availability and costs

4. Costs and availability of utilities

5. Environmental regulations

6. Government incentives and fiscal policies

7. Proximity to raw materials and customers

8. Land/construction costsFigure 9.1

MN

WI

MI

IL INOH

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Location Decisions

Site Decision Key Success Factors

1. Site size and cost

2. Air, rail, highway, and waterway systems

3. Zoning restrictions

4. Proximity of services/ supplies needed

5. Environmental impact issues

Figure 9.1

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Global

Competitiveness

Index of

Countries

TABLE 9.1

Competitiveness of 142 Selected

Countries

COUNTRY

2011-2012

RANKING

Switzerland 1

Singapore 2

Sweden 3

Finland 4

USA 5

Japan 9

UK 10

Canada 12

Israel 22

China 26

Mexico 58

Vietnam 65

Russia 66

Haiti 141

Chad 142

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Factors That Affect

Location Decisions

► Labor productivity

► Wage rates are not the only cost

► Lower productivity may increase total cost

Labor cost per day

Productivity (units per day)= Cost per unit

South Carolina

= $1.17 per unit$70

60 units

Mexico

= $1.25 per unit$25

20 units

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Factors That Affect

Location Decisions

► Exchange rates and currency risks

► Can have a significant impact on costs

► Rates change over time

► Costs

► Tangible - easily measured costs such as utilities, labor, materials, taxes

► Intangible - less easy to quantify and include education, public transportation, community, quality-of-life

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Factors That Affect

Location Decisions

► Exchange rates and currency risks

► Can have a significant impact on costs

► Rates change over time

► Costs

► Tangible - easily measured costs such as utilities, labor, materials, taxes

► Intangible - less easy to quantify and include education, public transportation, community, quality-of-life

Location decisions based on costs

alone can create difficult ethical

situations

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Factors That Affect

Location Decisions

► Political risk, values, and culture

► National, state, local governments attitudes toward private and intellectual property, zoning, pollution, employment stability may be in flux

► Worker attitudes towards turnover, unions, absenteeism

► Globally cultures have different attitudes towards punctuality, legal, and ethical issues

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Ranking CorruptionRank Country 2012 CPI Score (out of 100)

1 Demark, Finland, New Zealand 90

4 Sweden 88

5 Singapore 87

6 Switzerland 86

7 Australia, Norway 85

9 Canada, Netherlands 84

13 Germany 79

14 Hong Kong 77

17 Japan, UK 74

19 USA 73

37 Taiwan 61

39 Israel 60

45 South Korea 56

80 China 39

123 Vietnam 31

133 Russia 28

Least Corrupt

Most Corrupt

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Factors That Affect

Location Decisions

► Proximity to markets

► Very important to services

► JIT systems or high transportation costs may make it important to manufacturers

► Proximity to suppliers

► Perishable goods, high transportation costs, bulky products

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Factors That Affect

Location Decisions

► Proximity to competitors (clustering)

► Often driven by resources such as natural, information, capital, talent

► Found in both manufacturing and service industries

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Clustering of Companies

TABLE 9.3 Clustering of Companies

INDUSTRY LOCATIONS

REASON FOR

CLUSTERING

Wine making Napa Valley (US)

Bordeaux region

(France)

Natural resources of land

and climate

Software firms Silicon Valley,

Boston, Bangalore

(India)

Talent resources of bright

graduates in

scientific/technical areas,

venture capitalists nearby

Clean energy Colorado Critical mass of talent and

information, with 1,000

companies

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Clustering of Companies

TABLE 9.3 Clustering of Companies

INDUSTRY LOCATIONS

REASON FOR

CLUSTERING

Theme parks

(Disney World,

Universal Studios,

and Sea World)

Orlando, Florida A hot spot for

entertainment, warm

weather, tourists, and

inexpensive labor

Electronics firms Northern Mexico NAFTA, duty free export to

U.S.

Computer hardware

manufacturers

Singapore, Taiwan High technological

penetration rate and per

capita GDP,

skilled/educated workforce

with large pool of engineers

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Clustering of Companies

TABLE 9.3 Clustering of Companies

INDUSTRY LOCATIONS

REASON FOR

CLUSTERING

Fast food chains

(Wendy’s,

McDonald’s, Burger

King, and Pizza

Hut)

Sites within 1 mile of

each other

Stimulate food sales, high

traffic flows

General aviation

aircraft (Cessna,

Learjet, Boeing,

Raytheon)

Wichita, Kansas Mass of aviation skills

Athletic footwear,

outdoor wear

Portland, Oregon 300 companies, many

owned by Nike, deep talent

pool and outdoor culture

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Factor-Rating Method► Popular because a wide variety of factors

can be included in the analysis

► Six steps in the method

1. Develop a list of relevant factors called key success factors

2. Assign a weight to each factor

3. Develop a scale for each factor

4. Score each location for each factor

5. Multiply score by weights for each factor for each location

6. Make a recommendation based on the highest point score

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Factor-Rating ExampleTABLE 9.4 Weights, Scores, and Solution

SCORES

(OUT OF 100) WEIGHTED SCORES

KSF WEIGHT FRANCE DENMARK FRANCE DENMARK

Labor availability

and attitude.25 70 60 (.25)(70) = 17.5 (.25)(60) = 15.0

People-to-car ratio .05 50 60 (.05)(50) = 2.5 (.05)(60) = 3.0

Per capita income .10 85 80 (.10)(85) = 8.5 (.10)(80) = 8.0

Tax structure .39 75 70 (.39)(75) = 29.3 (.39)(70) = 27.3

Education and

health.21 60 70 (.21)(60) = 12.6 (.21)(70) = 14.7

Totals 1.00 70.4 68.0

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Weight Location A Location B Location C

Wages 40 30 75 90

Labor Climate 30 40 70 40

Taxes 15 80 40 90

Utilities 15 75 60 10

A small manufacturer is considering several locations for a new

facility. They have identified four factors that they consider to

be important for their location decision. They have decided to

assign scores to the four factors, with a higher score indicating

a more favorable location. Use the information in the following

table to perform a factor rating to select the best location.

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Factor Factor Description Weight Barclay Chester

1 Average community income .40 75 70

2 Community growth potential .25 60 80

3 Availability of public transportation .15 45 90

4 Labor cost .20 80 65

A clothing chain is considering two different locations for a new retail outlet.

The organization has identified the four factors listed in the following table

as the basis for evaluation, and has assigned weights as shown on the

right side of this table. The manager has rated each location on each factor,

on a 100-point basis (higher scores are better), as shown in the right-hand

table.

a) Calculate the composite score for each alternative location.

b) Which site should be chosen?

c) Are you concerned about the sensitivity and subjectivity of this solution?

Comment.

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Locational

Cost-Volume Analysis

► An economic comparison of location alternatives

► Three steps in the method

1. Determine fixed and variable costs for each location

2. Plot the cost for each location

3. Select location with lowest total cost for expected production volume

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Locational Cost-Volume Analysis Example

Three locations:

Athens $30,000 $75 $180,000

Brussels $60,000 $45 $150,000

Lisbon $110,000 $25 $160,000

Fixed Variable TotalCity Cost Cost Cost

Total Cost = Fixed Cost + (Variable Cost x Volume)

Selling price = $120

Expected volume = 2,000 units

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Locational Cost-Volume Analysis Example

Crossover point – Athens/Brussels

30,000 + 75(x) = 60,000 + 45(x)

30(x) = 30,000

(x) = 1,000

60,000 + 45(x) = 110,000 + 25(x)

20(x) = 50,000

(x) = 2,500

Crossover point – Brussels/Lisbon

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Locational Cost-Volume Analysis Example

–$180,000 –

–$160,000 –$150,000 –

–$130,000 –

–$110,000 –

––

$80,000 ––

$60,000 –––

$30,000 ––

$10,000 ––

An

nu

al co

st

| | | | | | |

0 500 1,000 1,500 2,000 2,500 3,000

Volume

Athens lowest cost

Brusselslowest cost

Lisbon lowest cost

Figure 9.2

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Location A would result in annual fixed costs of

$300,000 and variable costs of $55 per unit.

Annual fixed costs at Location B are $600,000

with variable costs of $32 per unit. Sales volume

is estimated to be 30,000 units per year. Which

location has the lower cost at this volume? How

large is its cost advantage? At what volume are

the two facilities equal in cost?

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Center-of-Gravity Method

► Finds location of distribution center that minimizes distribution costs

► Considers

► Location of markets

► Volume of goods shipped to those markets

► Shipping cost (or distance)

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Center-of-Gravity Method

► Place existing locations on a coordinate grid

► Grid origin and scale is arbitrary

► Maintain relative distances

► Calculate x and y coordinates for ‘center of gravity’

► Assumes cost is directly proportional to distance and volume shipped

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Center-of-Gravity Method

where dix = x-coordinate of location i

diy = y-coordinate of location i

Qi = Quantity of goods moved to or from location i

=

dixQi

i

å

Qi

i

åx-coordinate of the

center of gravity

=

diyQi

i

å

Qi

i

åy-coordinate of the

center of gravity

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Center-of-Gravity Method

TABLE 9.5 Demand for Quain’s Discount Department Stores

STORE LOCATION

NUMBER OF CONTAINERS

SHIPPED PER MONTH

Chicago 2,000

Pittsburgh 1,000

New York 1,000

Atlanta 2,000

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Center-of-Gravity Method

North-South

East-West

120 –

90 –

60 –

30 –

–| | | | | |

30 60 90 120 150Arbitrary origin

Chicago (30, 120)New York (130, 130)

Pittsburgh (90, 110)

Atlanta (60, 40)

Figure 9.3

d1x = 30

d1y = 120

Q1 = 2,000

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Center-of-Gravity Method

x-coordinate =(30)(2000) + (90)(1000) + (130)(1000) + (60)(2000)

2000 + 1000 + 1000 + 2000

= 66.7

y-coordinate =(120)(2000) + (110)(1000) + (130)(1000) + (40)(2000)

2000 + 1000 + 1000 + 2000

= 93.3

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Center-of-Gravity Method

North-South

East-West

120 –

90 –

60 –

30 –

–| | | | | |

30 60 90 120 150Arbitrary origin

Chicago (30, 120)New York (130, 130)

Pittsburgh (90, 110)

Atlanta (60, 40)

Center of gravity (66.7, 93.3)+

Figure 9.3

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Collection point Load (X,Y) Coordinates

A 9,000 (4,8)

B 4,000 (7,2)

C 2,000 (4,1)

D 5,000 (7,3)

Environmental Glass Products, Inc. wants to build a new

centralized facility to receive household, commercial, and

industrial glass for recycling. This center will be supplied by

trucks coming from four "collection points," where recyclable

glass is dropped off by individuals and businesses. The volume

and the map coordinates for the four collection centers are

shown below. Where should the collection center be located?

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Bases (X,Y) Coordinates Tonnage

Fort Able (40,110) 30,000

Base Baker (70,50) 60,000

Camp Charlie (90,20) 35,000

Camp Delta (70,80) 75,000

A contractor for the military is looking for a new location

for a supply depot. The depot will supply four bases whose

tonnage (demand) and map coordinates are shown below.

If management wants the depot to have a central location,

what should be its map coordinates?

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Transportation Model

► Finds amount to be shipped from several points of supply to several points of demand

► Solution will minimize total production and shipping costs

► A special class of linear programming problems

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Worldwide Distribution of

Volkswagens and PartsFigure 8.4

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Service Location Strategy

1. Purchasing power of customer-drawing area

2. Service and image compatibility with demographics of the customer-drawing area

3. Competition in the area

4. Quality of the competition

5. Uniqueness of the firm’s and competitors’ locations

6. Physical qualities of facilities and neighboring businesses

7. Operating policies of the firm

8. Quality of management

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Location StrategiesTABLE 8.6 Location Strategies – Service vs. Goods-Producing Organizations

SERVICE/RETAIL/PROFESSIONAL GOODS-PRODUCING

REVENUE FOCUS COST FOCUS

Volume/revenue

Drawing area; purchasing power

Competition; advertising/pricing

Physical quality

Parking/access; security/lighting;

appearance/ image

Cost determinants

Rent

Management caliber

Operation policies (hours, wage

rates)

Tangible costs

Transportation cost of raw material

Shipment cost of finished goods

Energy and utility cost; labor; raw

material; taxes, and so on

Intangible and future costs

Attitude toward union

Quality of life

Education expenditures by state

Quality of state and local

government

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Location StrategiesTABLE 8.6 Location Strategies – Service vs. Goods-Producing Organizations

SERVICE/RETAIL/PROFESSIONAL GOODS-PRODUCING

TECHNIQUES TECHNIQUES

Regression models to determine

importance of various factors

Factor-rating method

Traffic counts

Demographic analysis of drawing area

Purchasing power analysis of area

Center-of-gravity method

Geographic information systems

Transportation method

Factor-rating method

Locational cost–volume analysis

Crossover charts

ASSUMPTIONS ASSUMPTIONS

Location is a major determinant of

revenue

High customer-contact issues are critical

Costs are relatively constant for a given

area; therefore, the revenue

function is critical

Location is a major determinant of cost

Most major costs can be identified

explicitly for each site

Low customer contact allows focus on

the identifiable costs

Intangible costs can be evaluated

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How Hotel Chains Select Sites

► Location is a strategically important decision in the hospitality industry

► La Quinta started with 35 independent variables and worked to refine a regression model to predict profitability

► The final model had only four variables

► Price of the inn

► Median income levels

► State population per inn

► Location of nearby colleges

r2 = .51

51% of the profitability is predicted by

just thesefour variables!

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Geographic Information

Systems (GIS)

► Important tool to help in location analysis

► Enables more complex demographic analysis

► Available data bases include

► Detailed census data

► Detailed maps

► Utilities

► Geographic features

► Locations of major services

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Geographic Information

Systems (GIS)