First Advisor

Avinash Unnikrishnan

Date of Award

Spring 2021

Document Type

Thesis

Department

Civil and Environmental Engineering

Language

English

Subjects

Robust optimization, Industrial location

DOI

10.15760/honors.1147

Abstract

Facility location problems are used in widespread application in transportation, freight, supply chain, and logistics problems. Models can be developed as deterministic, where all parameters are known, or robust, where a parameter has uncertainty. This thesis explores a new method for developing robust formulation and compares the implications of assuming values for this uncertain parameter. Two models are solved, and both are compared against their deterministic counterparts using numerical analysis. By manipulating the input parameters and considering real world implications of the solutions, either the robust or deterministic can show better performance.

Rights

© 2021 Elijah Kling

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

A thesis submitted in partial fulfillment of the requirement for the degree of Bachelor of Science with Departmental Honors in Civil and Environmental Engineering.

Persistent Identifier

https://archives.pdx.edu/ds/psu/36140

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