The US Department of Homeland Security's National Infrastructure Protection Program
presents sector-specific planning objectives for protecting the nation's critical infrastructure
and key resources. In concert with this objective, researchers at the University of Arkansas
and Rutgers University are developing a prototype decision support system that integrates
geographic information systems and freight movement models to provide a framework for
cargo prioritization and off-loading during a sudden catastrophic closure of the national …

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 …