Real estate site selection: an application of artificial intelligence for military retail facilities
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Authors
Shangle, Eric L.
Subjects
Real Estate
Site Selection
GIS
Geography
Optimization
Retail
Genetic Algorithm
Site Selection
GIS
Geography
Optimization
Retail
Genetic Algorithm
Advisors
Shank, John
San Miguel, Joe
Jones, Becky
San Miguel, Joe for Shank, John (deceased).
Date of Issue
2006-09
Date
September 2006
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The purpose of this MBA project is to investigate and provide a comprehensive overview of the current real estate site selection industry while showing applications of how artificial intelligence can improve the selection process. The goal is to identify and document both the specific industry practices primarily utilized and the principal uses of artificial intelligent algorithms for site selection and sales forecasting. The results of this project can be applied to military retail facilities (exchanges and commissaries). The current business model for military retail facilities may not be optimized based upon current trends market data. Optimizing the location and allocation of goods and services through artificial intelligent algorithms can provide previously unrealized cost savings to the Department of Defense.
Type
Thesis
Description
MBA Professional Report
Series/Report No
Department
Graduate School of Business & Public Policy (GSBPP)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xiv, 68 p. : ill.
28 cm.
28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.