Business Location Decisions - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Business Location Decisions

Description:

Business Location Decisions Dr. Everette S. Gardner, Jr. Complexity of the location problem If there are N potential facility sites, there are (2^N) 1 different ... – PowerPoint PPT presentation

Number of Views:51
Avg rating:3.0/5.0
Slides: 20
Provided by: bauerUhEd
Learn more at: https://bauer.uh.edu
Category:

less

Transcript and Presenter's Notes

Title: Business Location Decisions


1
Business Location Decisions
  • Dr. Everette S. Gardner, Jr.

2
Complexity of the location problem
  • If there are N potential facility sites, there
    are (2N) 1 different geographical
    configurations.
  • Example 4 potential sites (A,B,C,D)
  • (24) 1 15
  • Number of Number of
  • facilities used Alternatives Alternatives
  • 1 A,B,C,D 4
  • 2 AB, AC, AD, BC,
    6
  • BC, CD
  • 3 BC, ABD, ACD, 4
  • BCD
  • 4 ABCD 1
  • 15

3
Complexity of the location problem (cont.)
  • ? Number of Number of alternative
  • potential sites geographical configurations
  • 5 31
  • 10 1,023
  • 20 1,048,575
  • 50 gt 105
  • 100 gt 1030

4

  • 100

  • Customer service level ()

  • Total distribution costs


  • Transportation costs
  • 0
    0
  • Number of warehouses ?
  • Cost-service tradeoffs
  • in logistics planning

Customer service axis of demand filled
within given time frame
Dollar cost axis
Inventory costs
Fixed facility costs
5
Analog model for facility location
Center.xls
6
Dimensional analysis in location decisions
  • Location decisions are based on two types of
    information
  • Tangibles (objective or quantitative)
  • Intangibles (subjective)
  • Dimensional analysis helps
  • Measure and evaluate intangibles
  • Combine tangible and intangible measurements
    into an overall value index for each location

7
Building a dimensional analysis model
  • List the decision factors
  • Score the decision factors
  • Natural units for tangible factors (usually
    financial)
  • Subjective scores for intangibles, scale of 1 to
    10
  • 1 represents the ideal
  • 10 represents a disaster
  • Weight each decision factor (scale of 1 to 5)
  • Compute weighted ratios
  • (Score for option A / Score for option B)Weight
  • Compute preference number
  • Product of weighted ratios

Dimensional.xls
8
Basic calculations in dimensional analysis U.S.
Air vs. Alaska airlines
9
Break-even analysis
  • Break-even Total fixed costs
  • point Unit Variable cost
  • in units price per unit
  • Example FC 25,000, P 20, VC 10
    BE 25,000 2,500 units
  • 20 10

10
Break-even analysis (cont.)


  • Sales revenue
  • Profit




  • 1000 2000 3000 4000
    5000
  • Units of output

Total costs
Break- even point
Variable costs
Fixed costs
Losses
11
Determining market areas
  • Laid down costs are the delivered costs of a
    product.
  • LDC P RX
  • Where
  • P Production cost/unit
  • R Transportation rate
  • X Distance

12
Determining market areas (cont.)
  • Market boundaries are at points where lines of
    equal LDC intersect











x
C
2
4
6
N
A
8
y
2
4
6
B
8
2
z
4
6
13
LP models for location decisions
  • Simple transportation model
  • Sources ? Destinations

14
LP models for location decisions (cont.)
  • Transshipment model
  • Sources ? Transshipment ? Destinations
  • points
  • Both models can be used to plan shipments over
    multiple time periods

15
Preliminary steps in locating service outlets
  • Group population into geographic areas (usually
    use census blocks)
  • 2. Use demographic data to determine probable
    facility usage for each potential location
  • Choose objective function
  • A. Maximize utilization
  • B. Minimize distance per capita
  • C. Minimize distance per visit
  • D. Minimize average reduction in number of
    visits made due to
    location decision
  • E. Weighted measures

16

Y
20
7
6
11
21
2
10
3
1
8
5
10
City A
22
15
4
9
23
13
12
10
26
20
-10
18
X
14
17
25
30
19
29
32
31
20
16
24
27
26
City B
-10
City C
17
TABLE 12Location coordinates in miles for three
criteriaand different numbers of centers
  • Criterion
  • Center number (1) Maximize
    (2) Minimize distance (4) Minimize distance
  • utilization per
    capita per encounter
  • x y x y x y
  • I With 1 center
  • 1 21.00 -3.00
    0.64 1.20 -8.70 10.10
  • II With 2 centers
  • 1 21.4 -3.7
    17.6 -3.30 18.50
    -3.30
  • 2 -9.89 10.4
    9.89 10.4 -9.90
    10.40
  • III With 3 centers
  • 1 22.40 -3.1
    21.52 -2.78 22.30
    -3.20
  • 2 -10.16 10.40
    -10.20 10.40 -10.20
    10.40
  • 3 3.63 -2.75
    3.60 -2.80 3.60
    -2.80
  • See figures 7 and 8 for locations of
    coordinates.
  • Determined only for the first criterion.

18
TABLE 12Location coordinates in miles for three
criteriaand different numbers of centers (cont.)
  • Criterion
  • Center number (1) Maximize
    (2) Minimize distance (4) Minimize distance
  • utilization per
    capita per encounter
  • x y x y x y
  • IV With 4 centers
  • 1 22.40
    -3.14 22.00 -3.50
    21.23 -3.08
  • 2 -10.20 10.40
    -10.10 10.30 -9.80
    10.40
  • 3 3.59
    -2.78 2.69 -4.80
    3.61 - 2.70
  • 4 11.32
    -2.25 3.76 3.04
    -11.35 3.00
  • V With 5 centers
  • 1 22.40
    -3.10
  • 2 -9.72
    10.61
  • 3 3.24
    -3.19
  • 4 -11.62
    3.24
  • 5 11.04
    -2.00
  • See figures 7 and 8 for locations of
    coordinates.

19
  • City
    A


  • Center




  • Criterion governing
  • center locations



3
15
10
5
2
-5
5
10
15
20
25
-15
-10
-5
1
-10
City B
City C
Write a Comment
User Comments (0)
About PowerShow.com