Date of Award

3-1991

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Yupo Chan, PhD

Abstract

A multiobjective linear programming approach is applied to the problem of locating receiving stations and HFDF receivers in a search and rescue network in order to maximize the expected number of distress signals that are geolocated. The multiobjective formulation is made up of two contrasting objectives: one maximizes the expected accurate lines of bearing, and one minimizes the excess coverage in the network. The individual objectives are weighted and combined into a composite objective function. The resulting problem is expressed as a two-stage network flow problem and is solved using SAS LP with a limited number of binary variables. The problem is iteratively solved for several weightings of the composite objective function. The United States is building a worldwide network of search and rescue (SAR) stations for performing SAR over broad ocean areas. The objective of this network is to geolocate distress signals from aircraft and ships in order to initiate SAR missions.

AFIT Designator

AFIT-GOR-ENS-91-M-17

DTIC Accession Number

ADA238353

Comments

The author's Vita page is omitted

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