Supporting Secure and Resilient Inland Waterways
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2018-09-30
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Edition:Final Report
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Abstract:Inland waterways are a cost-effective and environmentally-friendly mode of freight transportation. Natural and man-made events can disrupt navigation and may halt barge traffic. Our research provides decision support during inland waterway disruption response to mitigate negative time and value loss impacts through development of a decomposition based sequential heuristic (DBSH). The DBSH integrates the Analytic Hierarchy Process and linear programming to prioritize cargo and allocate barges to terminals. We solve thirty-five scenarios based on real-world Upper Mississippi River barge traffic data and find that our DBSH has similar performance compared to a previous approach with drastically improved computational time.
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