Publication:
Realigning the U.S. Navy Recruiting Command

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Authors
Schwartz, Garry S.
Subjects
Mixed integer nonlinear programming
Facility location
Piecewise approximating large mathematical models
Decomposition of mixed integer nonlinear problems
Resource allocation
GAMS
Advisors
Lawphongpanich, Siriphong
Date of Issue
1993-03
Date
March 1993
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
This thesis addresses two problems in aligning the recruiting structure for Navy Recruiting Command. The first problem involves two decisions affecting recruiting stations within a single recruiting district: which stations should remain open and how many recruiters should be assigned to each open station? The second problem is to decide how many recruiters and stations each district should have. The first problem is formulated as a nonlinear mixed integer programming problem. To obtain a solution with readily available software, the problem is decomposed into four subproblems that are solved sequentially. This decomposition approach is empirically shown to yield near optimal solutions for problems of varied sizes. The second problem is formulated as a nonlinear resource allocation problem in which the objective function is not expressible in closed form. To efficiently solve this problem, the function is approximated in a piecewise linear fashion using the results from the first problem. To illustrate the applications of these optimization models, solutions were obtained for Navy Recruiting District Boston and Navy Recruiting Area 1, which consists of Albany, Boston, Buffalo, New York, Harrisburg, Philadelphia, Pittsburgh and New Jersey districts.
Type
Thesis
Description
Series/Report No
Department
Department of Operations Research
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
50 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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