Application and Assessment of the Recruiting Station Location Evaluation System (RSLES)

Abstract

The purpose of this study is to assess the effectiveness of the Recruiting Station Location Evaluation System (RSLES) optimization model. RSLES was designed to aid DOD decision-makers in determining the optimum number of recruiting stations, their geographic location and staff size. The optimization procedure attempts to maximize contract production subject to service budget constraints. The system integrates an access database, a GAMS optimizer, and MapInfo graphics to provide a flexible environment to maximize production through market analysis and demographic information. This research uses RSLES to analyze three different stationing scenarios. Each scenario is applied in a selected sample of 39 U.S. Metropolitan Statistical Areas (MSA). The station locations and recruiter assignments recommend by the RSLES model are compared to actual stationing decisions made by the Navy and Army in FY 1999 and 2000. Analysis of the different scenarios finds that applying RSLES could increase predicted production of high quality male contracts by as much as 3,938 throughout the entire U.S. compared to the stationing decisions made by the two services.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2000
Accession Number
ADA379317

Entities

People

  • Donald Wilkinson
  • Kevin Gue
  • Stephen Mehay
  • Teriann Sammis

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Basic Training
  • Computer Programming
  • Computers
  • Contracts
  • Database Management Systems
  • Databases
  • Decision Support Systems
  • Environment
  • Geographic Information Systems
  • Geographic Regions
  • Information Systems
  • Linear Programming
  • Optimization
  • Organizational Structure
  • Personnel Management
  • Recruiting
  • Systems Management

Readers

  • Database Systems and Applications
  • Logistics and Supply Chain Management.
  • Naval Personnel Management