Date of Award

3-2025

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Brian J. Lunday, PhD

Abstract

This research models and analyzes the impact of stochastic travel times on port selection during a large-scale mobilization of equipment from continental United States installations to deployment locations using sealift ships. A stochastic mixed-integer programming model is developed to minimize the average arrival time of equipment into theater. The model is solved using Sample Average Approximation. In the first stage, the model selects ports to open and assigns installations, equipment, and ships to open ports. In the second stage, travel times are realized, and equipment is assigned to specific ships that are scheduled to depart. Results show that the marginal reduction in average arrival time achieved by opening an additional port is less than 0.1 days once seven ports are open. Additionally, the average arrival time is 2.3% faster when travel times are uncorrelated compared to correlated due to less port congestion.

AFIT Designator

AFIT-ENS-MS-25-M-193

Comments

An embargo was observed for this posting.

Approved for Public Release. PA Case Number on file.

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