Decision Support for Dynamic Risks to Improve Supply Chain Resilience

The COVID-19 pandemic resulted in significant supply chain disruptions across many industries, with disruptions caused by both increases in demand and reductions in available supply, leading to detrimental effects that disproportionately affected vulnerable populations. Further complicating matters, the severity of the disruptions varied throughout the pandemic. It was unclear how well data-driven models could capture the variations in time and at what point(s) in time different risk mitigation actions or operational decisions would be most effective. This project examines the effect of variations in risk over time on the management of transportation and supply chain networks with the goal of creating enhanced decision support tools. In the first year, the project addresses two related tasks: (1) to develop a set of models to represent the risk factors and time elements pertinent to common supply chain risk mitigation strategies, and (2) to examine the tradeoffs between prediction accuracy and prediction lead time.


    • English


    • Status: Active
    • Funding: $155110
    • Contract Numbers:


    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Mid-America Transportation Center

      University of Nebraska-Lincoln
      2200 Vine Street, PO Box 830851
      Lincoln, NE  United States  68583-0851
    • Performing Organizations:

      University of Missouri, St. Louis

      1 University Boulevard
      St. Louis, MO  United States  63121-4400
    • Principal Investigators:

      Hupman, Andrea C

      Enayati, Shakiba

      Encarnacion, Trilce

      Akenroye, Temidayo

      Li, Haitao

    • Start Date: 20230601
    • Expected Completion Date: 20240731
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01908399
    • Record Type: Research project
    • Source Agency: Mid-America Transportation Center
    • Contract Numbers: 69A3552348307
    • Files: UTC, RIP
    • Created Date: Feb 19 2024 6:14PM