Optimal Design of Inland Waterway System to Increase Supply Chain Resilience

University

University of Missouri-St. Louis

Principal Investigator

Trilce Encarnacion (tencarnacion@uml.edu)

Total Project Cost

$ $ 81,988 federal and $ 81,988 match

Funding Type

USDOT

Start Date

6/1/2024

End Date

6/30/2026

Agency ID or Contract Number

69A3552348307

Abstract

This project seeks to conduct research to develop mathematical models of supply chain network resilience that leverage the US inland waterway system. Extending the research conducted during year 1, which laid the foundation for developing advanced optimization and simulation methodologies to increase the resiliency of the inland waterway freight transportation system. Given the increasing threats from accidents, weather-related hazards, and terrorist attacks that have heightened risks for both freight and passenger transport systems, this project recognizes the pivotal role of inland waterways in mitigating these vulnerabilities. The resilience of intermodal systems, which are often significantly impacted by such events, leading to considerable economic losses, can be substantially improved by integrating inland waterways. This integration will be examined through the lens of network topology, investigating how different configurations and connectivity within the waterway system can influence key resilience metrics such as recovery time, system throughput, and adaptability in the face of disruptions. The expected deliverables include a characterization of resilient network topologies. A final synthesis report will present the research findings, including methodology, results, and recommendations for policymakers, stakeholders, and industry players. Reports will be shared with relevant stakeholders and research conferences, fostering public awareness of the benefits of inland waterway freight transport to increase supply chain resilience. The research endeavors seek to pave the way for a more resilient, interconnected, and environmentally friendly freight transportation network within the United States.

Description

This project seeks to conduct research to develop mathematical models of supply chain network resilience that leverage the US inland waterway system. Extending the research conducted during year 1, which laid the foundation for developing advanced optimization and simulation methodologies to increase the resiliency of the inland waterway freight transportation system. Given the increasing threats from accidents, weather-related hazards, and terrorist attacks that have heightened risks for both freight and passenger transport systems, this project recognizes the pivotal role of inland waterways in mitigating these vulnerabilities. The resilience of intermodal systems, which are often significantly impacted by such events, leading to considerable economic losses, can be substantially improved by integrating inland waterways. This integration will be examined through the lens of network topology, investigating how different configurations and connectivity within the waterway system can influence key resilience metrics such as recovery time, system throughput, and adaptability in the face of disruptions. The expected deliverables include a characterization of resilient network topologies. A final synthesis report will present the research findings, including methodology, results, and recommendations for policymakers, stakeholders, and industry players. Reports will be shared with relevant stakeholders and research conferences, fostering public awareness of the benefits of inland waterway freight transport to increase supply chain resilience. The research endeavors seek to pave the way for a more resilient, interconnected, and environmentally friendly freight transportation network within the United States

Objective

"Safety, Economic Strength and Global Competitiveness, Transformation US DOT National Roadway Safety Strategy"

Impacts/Benefits

The outcomes of this research project are poised to make substantial contributions to the field of transportation resilience, particularly through the enhanced utilization of inland waterways.