Trade-Off Analytics for Infrastructure Preservation

Maritime multimodal infrastructures are complex systems with extensive data about usage and the condition of maritime assets. In addition, this infrastructure has multiple stakeholders with conflicting objectives. Trade-off analytics is a systems engineering technique to use Model Based Engineering and descriptive, predictive, and prescriptive analytics to balance the trade-offs between these objectives. This project will develop an online course (adaptable to a professional development or graduate level course) to teach trade-off analytics with a maritime and multimodal infrastructure focus. The course will present trade-off analytics best practices through the entire infrastructure cycle, from the initial steps of identifying the infrastructure stakeholders and the initial asset decision, to the complex portfolio analyses to maintain or replace the assets. The course will present a Multiple Objective Decision Analysis (MODA) framework which has proven effective in other industries such as pharma, oil and gas, and the military to the maritime and multimodal infrastructure community. This course will have a strong emphasis on practical application, using publicly available maritime multimodal infrastructure data sets and demonstrating implementation of trade-off analytics techniques in a Microsoft Excel™ environment.

    Project

    • Status: Active
    • Funding: $96000
    • Contract Numbers:

      69A3551747130

    • Sponsor Organizations:

      Department of Transportation

      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590

      Office of the Assistant Secretary for Research and Technology

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

      Maritime Transportation Research and Education Center

      4190 Bell Engineering Center
      Fayetteville, Arkansas  United States 
    • Performing Organizations:

      University of Arkansas, Fayetteville

      Department of Industrial Engineering
      Fayetteville, AR  United States  72701
    • Principal Investigators:

      Parnell, Greg

    • Start Date: 20180813
    • Expected Completion Date: 20190812
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01681639
    • Record Type: Research project
    • Source Agency: Maritime Transportation Research and Education Center
    • Contract Numbers: 69A3551747130
    • Files: UTC, RiP
    • Created Date: Sep 21 2018 11:59AM