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: Completed
• 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

  University of Arkansas
  Fayetteville, AR  United States  72701
• Performing Organizations:

  University of Arkansas, Fayetteville

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

  Parnell, Gregory

• Start Date: 20180813
• Expected Completion Date: 20191231
• Actual Completion Date: 20191231
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Asset management; Best practices; Decision making; Infrastructure; Multimodal transportation; Preservation; Stakeholders; Systems engineering; Water transportation
• Subject Areas: Maintenance and Preservation; Marine Transportation; Planning and Forecasting;

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