1. Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Service Facility Location

2.  Competitive positioning: prime location can be barrier to entry.  Demand management: diverse set of market generators.  Flexibility: plan for future economic changes and portfolio effect.  Expansion strategy: contiguous, regional followed by “fill-in,” or concentrated. Service Facility Location Planning

3. Location on a Plane Y Destination j Yj Euclidean Origin i Metropolitan 0 Xi X j Yi X Geographic Representation

4. 1. Maximize Utilization ( City C: elderly find distance a barrier ) 2. Minimize Distance per Capita ( City B: centrally located ) 3. Minimize Distance per Visit ( City A: many frequent users ) City A City B City C -10 -5 5 10 15 -15 -10 -5 5 10 15 20 25 3 2 1 * * * Effect of Optimization Criteria

5.  Define the Target Market (Families receiving AFDC)  Select a Unit of Area (Census track, ZIP code)  Estimate Geographic Demand (Regression analysis)  Map Geographic Demand (3D visual depiction) Estimation of Geographic Demand

6. 1 (W 1 =7) 2 (W 2 =1) 3 (W 3 =3) 4 (W 4 =5) Single Facility Location Using Cross Median Approach

7. 1 (W 1 =7) 2 (W 2 =1) 3 (W 3 =3) 4 (W 4 =5) Solution is line segment y=2, x=2,3 Single Facility Location Using Cross Median Approach

8. First, a gravity analogy is used to estimate attractiveness of store j for customers in area i. A ij = Attraction to store j for customers in area i S j = Size of the store (e.g. square feet) T ij = Travel time from area i to store j lambda = Parameter reflecting propensity to travel Huff Retail Location Model

9. Second, to account for competitors we calculate the probability that customers from area i will visit a particular store j. Huff Retail Location Model

10. Third, annual customer expenditures for item k at store j can now be calculated. P ij = Probability customers from area i travel to store j C i = Number of customers in area i (e.g. census track) B ik = Annual budget for product k for customers in area i m = Number of customer areas in the market region Huff Retail Location Model

11. Fourth, market share of product k purchased at store j can now be calculated. Huff Retail Location Model

12. Site Selection Considerations

13.  Competitive Clustering (Among Competitors) (e.g. Auto Dealers, Motels)  Saturation Marketing (Same Firm) (e.g. An Bon Pain, Ice Cream Vendors)  Marketing Intermediaries (e.g. Credit Cards, HMO)  Substitute Electronic Media for Travel (e.g. telecommuting, e-Commerce)  Impact of the Internet on Service Location (e.g. Amazon.com, eBay, FedEx) Breaking the Rules

14. Front OfficeBack Office External Customer (consumer) Is travel out to customer or customer travel to site? Can electronic media substitute for physical travel? Is location a barrier to entry? Is service performed on person or property? Is co-location necessary? How is communication accomplished? Internal Customer (employee) Availability of labor? Are self-service kiosks an alternative? Are economies of scale possible? Can employees work from home? Is offshoring an option? Strategic Location Considerations