Author ORCID Identifier

https://orcid.org/0000-0001-8691-461X

Semester

Spring

Date of Graduation

2025

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Industrial and Managements Systems Engineering

Committee Chair

Zeyu Liu

Committee Co-Chair

Alan McKendall

Committee Member

Alan McKendall

Committee Member

Imtiaz Ahmed

Abstract

In this research, we propose a novel approach to design infrastructure networks for intermodal freight transportation systems, which incorporates railways, highways, and inland waterways (IWW). The objective of our study is to identify the optimal set of hubs to be built and operated over an extended time, based on the projected domestic cargo demand. Unlike traditional hub location models, our approach introduces hybrid hubs, where hybrid transportation modes are integrated to facilitate cargo handling. This innovative integration enables more efficient intermodal connections, leading to tangible reductions in operating costs, and carbon emissions. Specifically, we propose a mixed integer programming model to optimize infrasructure improvement, facility utilization, and cargo transportation decisions jointly. Due to the complexity of our model, solving large-scale problems become intractable. As such, we develop efficient decomposition solution algorithms, including Benders decomposition and a branch-and-cut (B&C) approach utilizing Benders optimality cuts. We further conduct comprehensive computational experiments to validate model performance and algorithm efficiency. Our case study shows that the proposed model holistically improves the efficiency, cost-effectiveness, and sustainability of the intermodal freight transportation system in the United States.

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